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Field
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. The requited person will achieve these research studies within the H.E.S.S. and CTAO collaborations. - Gammapy developer (code, test, benchmark, documentation) - Participation to the Gammapy user support
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research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 2 months ago
theory, and data-driven methods. The postdoc will work in close collaboration with an interdisciplinary group of researchers and students in control theory, signal processing, neuroscience, and sports
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, and gender studies. The project develops new theory on ritual-driven socialization into combatant and civilian identities and generates novel evidence through life-history interviews, surveys, and
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”, “Firstname_Lastname_cover_letter”. Include links to code examples in your CV (e.g., GitHub page, past project repositories). Position Requirements A recent PhD (completed within 5 years, or soon to be completed) in computer science
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condensed matter physics or a field relevant to the job duties within the past 5 years. Background in quantum many-body theory for strongly correlated electron systems Experience in the application
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participate in field research (through surveys, interviews, observations) Conduct qualitative and quantitative empirical analyses. Experience in coding of qualitative data will be a strong asset. Collaborate on
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in feminist theories and intersectional approaches to power relations at work. • Interest in participatory research and radical feminist epistemologies. • Proficiency in qualitative data collection and
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, Physics, Computational Chemistry, Nanoscience, Chemical Engineering, or a related field. Strong background in modelling (electro)catalytic processes using periodic density functional theory (DFT) is
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evidenced by a strong publication record in one or more of the following areas: random matrix theory, stochastic processes, neural networks, machine learning, and sparse data structures • Proficiency in