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Workshop QUEST Center -COARA – Asynchronous Virtual Brainstorm | Help Equip Biomedical Institutions with Tools to Implement Changes in Research Assessment!
If you work in the administration and governance team of a research performance institution, join the upcoming international SAGA Virtual Brainstorm!
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Seminar QUEST Center It's a Product Story - How Validation Drives Best Practices in Medical AI Development
An event as part of the QUEST Seminar on Responsible Research. Speaker: David Higgins.
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Workshop QUEST Center -Reproducible Research with R
This course will guide participants towards a reproducible research workflow supported by R. This course is generously supported by data camp by providing free access to online learning material. (In English)
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Seminar QUEST Center Using of Electronic Lab Books
ELNs offer a number of advantages over traditional paper lab books. But what are these advantages and how can you as an individual or even a whole group use the ELN in a meaningful way? These and all other questions about the ELN will be answered in this course. (In English)
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Workshop QUEST Center -Introduction to Systematic Review & Meta-Analysis of Animal Studies
Lectures, hands-on practical activities and tutorials. You will learn the major steps required to undertake a systematic review and meta-analysis of preclinical animal studies.
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Seminar QUEST Center Using of Electronic Lab Books
ELNs offer a number of advantages over traditional paper lab books. But what are these advantages and how can you as an individual or even a whole group use the ELN in a meaningful way? These and all other questions about the ELN will be answered in this course. (In German)
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Workshop QUEST Center -Intermediate meta-analysis of data from animal studies in R
During this intensive workshop, participants will delve into the practicalities of conducting meta-analysis on animal studies. (In English)
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Workshop QUEST Center -Berlin | Oxford Summer School on Open and Responsible Research
Summer School to guide early-career researchers (PhD students and postdocs) toward an open, transparent, and replicable research process. (In English)