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research environment. Access to state-of-the-art equipment and facilities. Member of the integrated Research Training Group for dual mentoring, comprehensive doctoral training program, weekly seminars
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Description Gen-Q is a doctoral training programme set up by Eucor – The European Campus EGTC. It provides 13 doctoral positions with an international, interdisciplinary and intersectoral focus
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of English is required. Knowledge of German is desirable or the willingness to acquire it to ensure effective communication in the work environment Experience in IT administration and web maintenance is of
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 19 days ago
Hinton ) at the Max Planck Institute for Nuclear Physics in Heidelberg (Germany) offers Postdoc positions (m/f/d). The Division is engaged in a broad programme of experimental and observational activities
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The thesis can be written either in German or French. However, it must contain a substantial summary (approx. 50 pages) in the other language. Programme duration 6 semesters Beginning Winter semester
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public health. With a teaching load of 2 hours per week during term time, the professorship will represent and advance content with a focus on public health services in the Master degree programmes in
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passionate and skilled data scientist and programmer who is collaborating with our scientific and IT personnel to aim for attractive solutions for our data products. This includes the maintenance and execution
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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The position is funded for 3 years (65% TV-L E13), starting on January 1st, 2026, within the framework of the TTU HIV program of the German Center for Infection Research (DZIF). Project Description: Although
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to the table Enrolled in a Bachelor’s or Master’s program in computer science, data science, or related field Proficient in Python with an understanding of modern ML workflows Interest in applied machine