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Just type “intranet” in the web browser of a DKFZ computer and go to the “Forms” tab (Formularcenter). Ask a colleague or your department secretary if you do not​.


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Diversity am DKFZ

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[email protected] The aim of the paper is to present the conceptual basis and capabilities of intranet applications in radiology. The intranet, which is​.


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ERC Grant Holder Movie Gallery - Aurelio Teleman, DKFZ

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ERC Grant Holder Movie Gallery - Mark Ladd, DKFZ

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The German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) with its more than employees is the largest biomedical research.


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DKFZ 2016

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For details about dates and location please visit the HCM-Portal (for DKFZ employees on the intranet), the Heidelberg University Lecture Index, or contact the.


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DKFZ PhD Student Retreat

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Access for DKFZ-user. DKFZ-user can start Husar's web interface (W2H) within the DKFZ network (or via VPN) from.


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ERC Grant Holder Movie Gallery - Hans-Reimer Rodewald, DKFZ

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The German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) with its more than employees is the largest biomedical research.


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International PhD Program at the DKFZ in Heidelberg

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ERC Grant Holder Movie Gallery - Hellmut Augustin, DKFZ

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DKFZ Career Check

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DKFZ - A Video

The topics that are covered are chosen according to the needs of researchers at the DKFZ. This advanced R-course is focused on programming. Topics: Introduction to R, Rstudio and Bioconductor Data quality checking and missing values imputation Case studies on: Parametric versus non-parametric tests ANOVA and multiple comparisons Diagnostic tests and measuring agreement Multiple linear regression and variable selection Survival analysis Classification and model selection with resampling methods Multiple testing and differential gene expression with LIMMA Gene group tests and pathway and gene ontology analyses Clustering and heatmaps Dimension reduction with principal component analysis et al.{/INSERTKEYS}{/PARAGRAPH} Topics: Descriptive statistics: plots, measures of location and spread Confidence intervals Statistical hypothesis testing, p-value, etc. The Institute of Applied Mathematics at Heidelberg University also organizes R-courses; see here for further information. Statistics Courses. Lecture series for researchers and PhD students in the biological or clinical sciences without prior knowledge in statistics. {PARAGRAPH}{INSERTKEYS}The division of Biostatistics offers three consecutive statistics lecture series starting every summer semester. Ideally, participants will have attended the lecture series 'Basic Principles of Biostatistics' and 'Advanced Topics in Biostatistics' as well as a beginners R course. Cancer Risk Factors and Prevention. The aim of the courses is to enable the participants to perform simple analyses by themselves, to recognize when professional statistical advice is needed and to facilitate cooperation between researchers and the division of Biostatistics. The lectures are held weekly during both the summer and winter terms and last one hour. Lecture series by members of the division of Biostatistics, in which the use of the statistical programming language R is demonstrated using real data analyses as examples. Biostatistical Case Studies using R and Bioconductor summer term Lecture series by members of the division of Biostatistics, in which the use of the statistical programming language R is demonstrated using real data analyses as examples. Statistical tests for quantitative data, e. Team-taught lecture series by members of the division of Biostatistics for researchers and PhD students in the biological or clinical sciences with basic knowledge of statistics. Advanced Topics in Biostatistics winter term Team-taught lecture series by members of the division of Biostatistics for researchers and PhD students in the biological or clinical sciences with basic knowledge of statistics. Research Topics. Participants should be familiar with basic statistical concepts and have some basic R programming skills. Basic Principles of Biostatistics summer term Lecture series for researchers and PhD students in the biological or clinical sciences without prior knowledge in statistics.