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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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, active participation in the new interdisciplinary study program Data Analytics in Economics and Business is required. Research should address economic questions with a methodological focus on theoretical
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from models. Your Qualifications / Experience: • A Bachelor or Master in computer sciences, engineering, physics, mathematics, or a related discipline • Work experience in data management and scientific
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within a joint research programme. What will be your tasks? We monitor the ecological status of the Baltic Sea as part of national and international programs. A central component of this work is nutrient
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
experience with programming languages such as Python, R, or Julia and bioinformatics tools Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem
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(www.stelloslab.com) is an internationally recognized research group at the forefront of RNA biology and cardiovascular science. We harness integrative computational and experimental strategies to unravel how RNA
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job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A028-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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(bioinformatics, computer science, genetics, or a related field) Excellent advanced scientific degree (PhD) in bioinformatics, computer science, computational biology or a related STEM field; prior working
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture