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29.02.2024, Wissenschaftliches Personal Postdoc and PhD positions are available at the Chair for Efficient Algorithms headed by Prof. Stephen Kobourov at the Technical University of Munich (TUM
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fields and work in a stimulating research environment? We are looking for an outstanding and highly motivated doctoral or postdoctoral (i.e., recently, or soon-to-be PhD graduate) researcher to join our
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15.05.2024, Wissenschaftliches Personal The EQUA Endowed Chair for Family Business Culture and Ownership at TUM School of Management is offering a PhD position on the broad topics of responsibility
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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and energy demand of AI based solutions excite you? Do you want to set the tone for future mobility...
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16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant (m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided...
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25.03.2024, Wissenschaftliches Personal We are searching for motivated personnell (PhD, postdoc) with mathematics or informatics background. You will be working in the FAIRmat project (a NFDI
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well as developmental support throughout your time at our Center. We look for… • a team player with completed PhD degree (or close to completion) in management, (organizational) psychology, sociology, economics, business
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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will be the selection of suitable materials for the individual system components and their system integration. Applicant’s profile The candidate should ideally hold a PhD degree in applied physics
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supported by more junior colleagues (PhD candidates, Bachelor’s and Master’s students). Requirements PhD degree in Computational biology or related (Computer Science, Physics) Experience with NGS data