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Field
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knowledge on epidemiological and statistical methods To scientifically contribute to narrow evidence gaps in epidemiological and health research To acquire the ability to present results and methods
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Degree Doctoral degree in biology, economics, linguistics, political science and public administration, physics, psychology, sociology or statistics Course location Konstanz Teaching language
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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regulatory processes. Develop analysis pipelines for pre-processing, normalization, and statistical modeling of high-throughput sequencing data. Integrate and mine public datasets to complement in-house
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proficiency in data analysis and statistical software packages. You have problem solving skills. You own the ability to conduct independent scientific research and collaborate in an interdisciplinary research
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Familiarity with statistics and programming experience in Python are advantageous Strong intention to be a part of international team with interdisciplinary questions We offer: An interesting and vibrant field
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the preparation of plant tissues for the extraction of natural substances knowledge of the isolation and structural elucidation of natural products is an advantage experience in the statistical analysis of research
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consulting in the area of statistics and ML, entrepreneurship training, the bilateral transfer of methods and problems from industry, and training for AI users from industry. Learn more about the transfer
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on the topic assigned for each position. Requirements: outstanding university degree (typically M. Sc.) in Computer Science, Data Science, Statistics, Mathematics or another relevant field study with good GPA