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DTSTART;VALUE=DATE:20260309
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260310
SUMMARY:Statistical Methods in Life Sciences
CLASS:PUBLIC
DESCRIPTION:The Statistical Methods in Life Sciences course will take place
  from 9 to 13 March 2026 in Uppsala\, Sweden. Organised by NBIS\, this han
 ds-on course introduces core statistical methods for life science research
 \, with real-world examples and active learning formats including lectures
 \, coding sessions\, and group exercises. Participants will explore key to
 pics such as probability\, sampling\, and distributions for biological dat
 a\, sampling variability and resampling\, multivariate data analysis\, con
 fidence intervals and hypothesis testing\, linear and mixed-effect models 
 and survival analysis.The course is taught using R and is designed to buil
 d both conceptual understanding and applied skills in statistical analysis
 .Target audienceThis course is particularly suited for PhD students\, post
 docs\, and researchers in the life sciences with basic R programming skill
 s.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>The <em>Statisti
 cal Methods in Life Sciences</em> course will take place from 9 to 13 Marc
 h 2026 in Uppsala\, Sweden. Organised by NBIS\, this hands-on course intro
 duces core statistical methods for life science research\, with real-world
  examples and active learning formats including lectures\, coding sessions
 \, and group exercises. Participants will explore key topics such as proba
 bility\, sampling\, and distributions for biological data\, sampling varia
 bility and resampling\, multivariate data analysis\, confidence intervals 
 and hypothesis testing\, linear and mixed-effect models and survival analy
 sis.<br>The course is taught using R and is designed to build both concept
 ual understanding and applied skills in statistical analysis.</p><p><br><s
 trong>Target audience</strong><br>This course is particularly suited for P
 hD students\, postdocs\, and researchers in the life sciences with basic R
  programming skills.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260614T215024Z
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UID:6a2f2220ec6e5
DTSTART;VALUE=DATE:20260310
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260311
SUMMARY:Statistical Methods in Life Sciences
CLASS:PUBLIC
DESCRIPTION:The Statistical Methods in Life Sciences course will take place
  from 9 to 13 March 2026 in Uppsala\, Sweden. Organised by NBIS\, this han
 ds-on course introduces core statistical methods for life science research
 \, with real-world examples and active learning formats including lectures
 \, coding sessions\, and group exercises. Participants will explore key to
 pics such as probability\, sampling\, and distributions for biological dat
 a\, sampling variability and resampling\, multivariate data analysis\, con
 fidence intervals and hypothesis testing\, linear and mixed-effect models 
 and survival analysis.The course is taught using R and is designed to buil
 d both conceptual understanding and applied skills in statistical analysis
 .Target audienceThis course is particularly suited for PhD students\, post
 docs\, and researchers in the life sciences with basic R programming skill
 s.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>The <em>Statisti
 cal Methods in Life Sciences</em> course will take place from 9 to 13 Marc
 h 2026 in Uppsala\, Sweden. Organised by NBIS\, this hands-on course intro
 duces core statistical methods for life science research\, with real-world
  examples and active learning formats including lectures\, coding sessions
 \, and group exercises. Participants will explore key topics such as proba
 bility\, sampling\, and distributions for biological data\, sampling varia
 bility and resampling\, multivariate data analysis\, confidence intervals 
 and hypothesis testing\, linear and mixed-effect models and survival analy
 sis.<br>The course is taught using R and is designed to build both concept
 ual understanding and applied skills in statistical analysis.</p><p><br><s
 trong>Target audience</strong><br>This course is particularly suited for P
 hD students\, postdocs\, and researchers in the life sciences with basic R
  programming skills.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260614T215024Z
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BEGIN:VEVENT
UID:6a2f2220ec6ee
DTSTART;VALUE=DATE:20260311
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260312
SUMMARY:Statistical Methods in Life Sciences
CLASS:PUBLIC
DESCRIPTION:The Statistical Methods in Life Sciences course will take place
  from 9 to 13 March 2026 in Uppsala\, Sweden. Organised by NBIS\, this han
 ds-on course introduces core statistical methods for life science research
 \, with real-world examples and active learning formats including lectures
 \, coding sessions\, and group exercises. Participants will explore key to
 pics such as probability\, sampling\, and distributions for biological dat
 a\, sampling variability and resampling\, multivariate data analysis\, con
 fidence intervals and hypothesis testing\, linear and mixed-effect models 
 and survival analysis.The course is taught using R and is designed to buil
 d both conceptual understanding and applied skills in statistical analysis
 .Target audienceThis course is particularly suited for PhD students\, post
 docs\, and researchers in the life sciences with basic R programming skill
 s.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>The <em>Statisti
 cal Methods in Life Sciences</em> course will take place from 9 to 13 Marc
 h 2026 in Uppsala\, Sweden. Organised by NBIS\, this hands-on course intro
 duces core statistical methods for life science research\, with real-world
  examples and active learning formats including lectures\, coding sessions
 \, and group exercises. Participants will explore key topics such as proba
 bility\, sampling\, and distributions for biological data\, sampling varia
 bility and resampling\, multivariate data analysis\, confidence intervals 
 and hypothesis testing\, linear and mixed-effect models and survival analy
 sis.<br>The course is taught using R and is designed to build both concept
 ual understanding and applied skills in statistical analysis.</p><p><br><s
 trong>Target audience</strong><br>This course is particularly suited for P
 hD students\, postdocs\, and researchers in the life sciences with basic R
  programming skills.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260614T215024Z
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BEGIN:VEVENT
UID:6a2f2220ec6f4
DTSTART;VALUE=DATE:20260312
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260313
SUMMARY:Statistical Methods in Life Sciences
CLASS:PUBLIC
DESCRIPTION:The Statistical Methods in Life Sciences course will take place
  from 9 to 13 March 2026 in Uppsala\, Sweden. Organised by NBIS\, this han
 ds-on course introduces core statistical methods for life science research
 \, with real-world examples and active learning formats including lectures
 \, coding sessions\, and group exercises. Participants will explore key to
 pics such as probability\, sampling\, and distributions for biological dat
 a\, sampling variability and resampling\, multivariate data analysis\, con
 fidence intervals and hypothesis testing\, linear and mixed-effect models 
 and survival analysis.The course is taught using R and is designed to buil
 d both conceptual understanding and applied skills in statistical analysis
 .Target audienceThis course is particularly suited for PhD students\, post
 docs\, and researchers in the life sciences with basic R programming skill
 s.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>The <em>Statisti
 cal Methods in Life Sciences</em> course will take place from 9 to 13 Marc
 h 2026 in Uppsala\, Sweden. Organised by NBIS\, this hands-on course intro
 duces core statistical methods for life science research\, with real-world
  examples and active learning formats including lectures\, coding sessions
 \, and group exercises. Participants will explore key topics such as proba
 bility\, sampling\, and distributions for biological data\, sampling varia
 bility and resampling\, multivariate data analysis\, confidence intervals 
 and hypothesis testing\, linear and mixed-effect models and survival analy
 sis.<br>The course is taught using R and is designed to build both concept
 ual understanding and applied skills in statistical analysis.</p><p><br><s
 trong>Target audience</strong><br>This course is particularly suited for P
 hD students\, postdocs\, and researchers in the life sciences with basic R
  programming skills.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260614T215024Z
END:VEVENT
BEGIN:VEVENT
UID:6a2f2220ec6fa
DTSTART;VALUE=DATE:20260313
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260314
SUMMARY:Statistical Methods in Life Sciences
CLASS:PUBLIC
DESCRIPTION:The Statistical Methods in Life Sciences course will take place
  from 9 to 13 March 2026 in Uppsala\, Sweden. Organised by NBIS\, this han
 ds-on course introduces core statistical methods for life science research
 \, with real-world examples and active learning formats including lectures
 \, coding sessions\, and group exercises. Participants will explore key to
 pics such as probability\, sampling\, and distributions for biological dat
 a\, sampling variability and resampling\, multivariate data analysis\, con
 fidence intervals and hypothesis testing\, linear and mixed-effect models 
 and survival analysis.The course is taught using R and is designed to buil
 d both conceptual understanding and applied skills in statistical analysis
 .Target audienceThis course is particularly suited for PhD students\, post
 docs\, and researchers in the life sciences with basic R programming skill
 s.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>The <em>Statisti
 cal Methods in Life Sciences</em> course will take place from 9 to 13 Marc
 h 2026 in Uppsala\, Sweden. Organised by NBIS\, this hands-on course intro
 duces core statistical methods for life science research\, with real-world
  examples and active learning formats including lectures\, coding sessions
 \, and group exercises. Participants will explore key topics such as proba
 bility\, sampling\, and distributions for biological data\, sampling varia
 bility and resampling\, multivariate data analysis\, confidence intervals 
 and hypothesis testing\, linear and mixed-effect models and survival analy
 sis.<br>The course is taught using R and is designed to build both concept
 ual understanding and applied skills in statistical analysis.</p><p><br><s
 trong>Target audience</strong><br>This course is particularly suited for P
 hD students\, postdocs\, and researchers in the life sciences with basic R
  programming skills.</p></body></html>
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DTSTAMP:20260614T215024Z
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