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somatic variant calling - programming experience in scripting languages such as Python/Perl and/or in statistical program R is a necessity, - ability to work efficiently in a Linux command-line environment
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Nutrition (EPIC) Study. You will implement and develop state-of-the-art scientific and statistical analysis techniques, in particular those based on machine learning, to develop integrated, multi-omics
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Experience in multivariate data analysis and statistics Experience in cheminformatics would be beneficial Good communication skills in spoken and written English language OUR OFFER Your new job is hosted in a
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semesters are welcome, provided they have relevant experience or knowledge in this field. Excellent academic writing skills, particularly in English (at least C1-level) Knowledge of statistical procedures and
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 days ago
statistical and methodological skills you are a team player: you value team work and enjoy enhancing the work of others you have excellent social and communication skills you have excellent written and spoken
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University of Potsdam, Faculty of Human Sciences/ Department of Cognitive Sciences, Chair of Psychological Meth-odology, Statistics and Evaluation | Potsdam, Brandenburg | Germany | 2 months ago
21 Feb 2024 Job Information Organisation/Company University of Potsdam, Faculty of Human Sciences/ Department of Cognitive Sciences, Chair of Psychological Meth-odology, Statistics and Evaluation
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Research Engineer (f/m/d) Background: Reproducible science requires access to suitable and transparent research software. In the field of luminescence-based chronology, the statistical programming
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Max Planck Institute for the Science of Light, Erlangen | Erlangen, Bayern | Germany | about 2 months ago
data from deformation-cytometry (DC) experiments as predictors. Perform statistical analysis, unsupervised and supervised clustering models to categorize, characterize and predict various diseases
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the areas of privacy-preserving machine learning and membership inference attacks Development of innovative solutions using modern methods of machine learning and statistics Practical implementation and
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documentation and presentation Planning and execution of filtration tests on a milliliter to liter scale in the laboratory as well as statistical test planning (with guidance from our scientific staff, software