37 phd-position-in-database-modeling Postdoctoral research jobs at Technical University of Munich in Germany
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
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Institute (https://www.mdsi.tum.de/). The Position Plan, develop and test novel computational models for the analysis of digital pathology image data. Collaborate with pathologists and other domain experts
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scripting language is necessary for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a
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and physiological function of specific transport proteins in heterologous expression systems in crops and (trans-genic) model plants. • A unique set of Arabidopsis and barley transporter “mutants
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
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for a Scientific Researcher with the possibility of doctorate/postdoctoral researcher: Advanced inverse modeling of greenhouse gases and air pollutants (E13 TV-L, 100%) The position is initially limited
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postdoctoral position in Mechatronics and Robotics for the coordination of and scientific contribution to the 6G-Life Project. About us Located in the prosperous capital of Bavaria and home to over 39000
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17.11.2022, Wissenschaftliches Personal TUM School of Management at TUM Campus Heilbronn invites applications for a Postdoc position (m/f/x) in the area of Entrepreneurship / Family Enterprise
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03.02.2023, Wissenschaftliches Personal Postdoc Position (m/f/d, TV-L E 12 position, for 15 months, extension possible depending on funding) in “Surface Chemical Physics and Molecular Nanoscience