71 parallel-processing-bioinformatics-"DIFFER" PhD positions at Technical University of Munich
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, metabolomics, and precision health YOUR PROFILE Completed university degree (Master’s or equivalent) in a scientific or technical field such as Physics, Biotechnology, Bioinformatics, Mathematics, Statistics
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paid PhD position in the area of Natural Language Processing starting as soon as possible. Your responsibilities Research & development projects in the area of NLU and NLG Contribution to teaching on
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improve industrial processes by establishing a thorough understanding of the materials at different length- and time scales. Your project Milk protein concentrates (MPC) are dairy proteins which
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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Our research focuses on extracting and isolating bio-based polymers such as cellulose and proteins fromrenewable feedstocks and waste streams. We aim to develop sustainable processes to convert
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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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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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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