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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 | 3 months 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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statistics, mathematics, and complex systems (e.g., understanding feedback loops) Knowledge of or curious about the carbon cycle in South America and willing to expand your knowledge in related disciplines
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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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and the Study of Religion Psychology and Educational Sciences Cultural Studies Languages and Literatures Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology
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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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experience in the extraction of natural compounds from complex matrices knowledge of the isolation and structural elucidation of natural products experience in the statistical analysis of research results
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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
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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