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13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed
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to develop a methodology for constructing 3D models Based on diverse details provided in the different kinds of 2D drawing views. Developing such a methodology requires the identification of drawing
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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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heterogeneity; namely non-iid and domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact
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profiles. To achieve this aim, the overall odour of wood of Cembran pine (Pinus cembra L.) will be evaluated by sensory investigation. Thereby, not only the wood of different varieties and origins but also
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at conferences. The PhD program has a duration of three years and with the PhD degree offered by TUM. Qualifications A Master’s degree in Operations Management, Computer Science, Industrial Engineering, Economics
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mobility, user demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital
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, Data Science, or a closely related discipline Strong interest in interdisciplinary research at the interface of Artificial Intelligence, Data Science, and Life Sciences Excellent programming skills
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single-cell data analysis and programming skills are a plus • Organizational skills and meticulous experimentation practices • Great enthusiasm for translational science with human tissues • Ability
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discipline Strong interest in automation of process steps (Python, LabView, or similar... Experience in one (or more) of the following areas is desirable: programming, automation, synthesis of inorganic