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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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) of the German Academic Exchange Service (DAAD). The structured graduate program is one of the core areas within the Munich Medical Research School (MMRS) and embedded in the Pettenkofer School of Public Health. A
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choose to write the doctoral thesis in either language. Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Check for current openings on our website
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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
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topics and debates in ecology • Experience with a programming language (e.g., R or Python) and data analysis • Sound knowledge of English and the ability to write scientific publications
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, particularly insect decline and species distribution models (SDMs), are desirable • Experience with and knowledge of a programming language commonly used in data science (e.g., R or Python) • Experience and
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, statistics, or data science). If already available, please include your M.Sc thesis in your application. • Experience with and knowledge of a programming language commonly used in data science (e.g., R
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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Jan 2026 - 23:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 24 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Proteomics Community, Lipidomics Standards Initiative and participation in corresponding projects Your Profile: Master’s degree in computer science, bio/-cheminformatics or natural sciences Strong programming