69 application-programming-android PhD positions at Technical University of Munich in Germany
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for three PhD positions to be filled on August 1st 2025 to enlarge our research team working on NLP for medical applications. PhD Positions in NLP for Medical Applications The Chair of Software Engineering
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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that are technically well-grounded and at the same time represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster
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project funded within the DFG Priority Programme “Illuminating Gene Functions in the Human Gut Microbiome” (SPP 2474) and be involved in microbiology and molecular microbiology of the gut microbiota
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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Enrollment as a doctoral candidate in TUM IGGSE, with extensive training program Interested? Then we look forward to receiving your application; please send them by e-mail to jobs.ens@ed.tum.de with “PhD
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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Freising, Germany Severely handicapped persons will be given preference in case of essentially equal qualification The TUM aims to increase the proportion of women in its staff; applications from women