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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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family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 17 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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or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
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environment, where your research can flourish. Create an innovative research program developing or utilizing cutting-edge technologies to address important biological questions from a unique standpoint. Your
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in cooperation with scientists and stakeholders. Ecological monitoring is carried out through integrated recording of soil, crops, and landscape characteristics using multiple sensors, mobile measuring
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Your Job: In this Master’s thesis, you will investigate the impact of different programming algorithms on the stability of resistance states using a sophisticated 3D Kinetic Monte Carlo (KMC) model
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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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Register here for the next round of applications! Register now! Hint The closing date for applications has elapsed. Unfortunately, it is not currently possible to apply for this programme. The next
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practical skills in statistical analysis, data integration, backend or frontend programming and database design. Interest in understanding technologies e.g. proteomics and metabolomics using mass