49 molecular-modeling-or-molecular-dynamic-simulation PhD scholarships at Technical University of Munich in Germany
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Analyzer and Sorter, single-cell mRNA-sequencing etc.) • A cutting-edge highly funded research project in immunology (ERC-CoG funded lab) • A highly dynamic international young team in a thriving research
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27.04.2021, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d
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uncertainty from environment perception and your own state estimation, and then integrating it into a newly developed trajectory and behavior planner. The goal is to enable safe, reliable and highly dynamic
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will usually be limited to two courses per year plus mentoring of student theses. A strong interest in an academic career is welcome. We offer a dynamic and international work environment, with a
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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privacy-preserved fashion. Research topics include, but not limited to, i) handling distributed DL models with data heterogeneity including non i.i.d, and domain shifts, ii) developing explainability and
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at young adults. In addition, they will be supported in shaping the direction of their own research. The doctoral scholar will be part of a dynamic international team at the Institute for Ethics and History
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of specialization include: Web Application Engineering Model-based Systems Engineering AI for Software Engineering Software Engineering for ML Big Data Architectures Cloud Architectures Contribution to Software
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health and wellbeing. Utilizing terrestrial mobile laser scanning (TLS) and automated recording units (ARUs), as well as advanced modeling techniques, this thesis will quantify songbird diversity indices
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positions will be part of a dynamic and collaborative team that conducts cutting-edge Data Science research and will provide opportunities to work with leading experts in the field of Responsible Data Science