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Job Description If you wish to develop your research within Science & Technology Studies (STS) and Computational Anthropology, you may consider applying for this Post Doc position (36 months). We
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to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with
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physiology Language skills (English) Intermediate programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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expect the candidate to have: PhD in transportation science, machine learning, behavioral economics or a related field. Programming skills Python, along with experience working with transportation
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and hybrid detection technologies. Plan, distribute and follow up on tasks with the rest of the team. Report effectively on progress and plans. Publish research results in high-quality scientific
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Multiphysics. Experience with magnetism, e.g. from a BSc course in electromagnetism. Experience with writing and publishing scientific articles. Ability to work independently, to plan and carry out complicated
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an exciting opportunity to contribute to a cutting-edge instrument during its commissioning and early science phases. You will work with Prof. Lars A. Buchhave (2ES PI) and the rapidly growing
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leads JWST programs and has had multiple proposals accepted from our group (GO 2420 , GO 3730 , GO 7675 ). Through international collaborations, we are also deeply involved in several other JWST programs
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
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electrochemical measurement of neurotransmitter release. You will be based at DTU Nanolab, where we conduct cross-disciplinary research and apply micro- and nanotechnology to a wide range of scientific disciplines