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Application Deadline 11 Nov 2025 - 05:55 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to
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, or computer science. The thesis work is complemented by a comprehensive training program in English. The PhD degree will be conferred by the Technical University in Dresden or by one of the partner institutions
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Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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Max Planck Institute for Solid State Research, Stuttgart, Hamburg, Halle, Dresden | Dresden, Sachsen | Germany | about 2 months ago
projects A modern, English-speaking structured PhD program Fully funded positions, no tuition costs and additional funding for scientific meetings and trainings Individual supervision and mentoring by
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regional and international partner institutions. Deadline for applications is 02 November 2025. Virtual panel interviews take place at the end of January 2026. The programme starts in October 2026. The IMPRS
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one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | about 2 months ago
Temporary Job Status Full-time Hours Per Week 39 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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master’s degree (or equivalent) in neurosciences, biochemistry, genetics, data science or related disciplines English (at least C1 level) Willingness to participate in prolonged research stays (secondments
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an overall grade of at least good Experience in programming (e.g., matlab, phyton, C/C++) Advanced knowledge of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and