75 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions in Switzerland
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Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Electrochemical Sensing for Health Applications (SDC18
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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suggest that you apply to the Doctoral Program in Mechanics (EDME) . We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://careers.epfl.ch/job
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
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Network with 15 funded 3-year PhD positions in parallel. Your profile Master Degree in environmental/natural sciences or engineering, or similar. Experience with developing computational models Preferably
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. Empa is a research institution of the ETH Domain. Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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planned for 3 years with the potential to be prolonged and will be carried out as a PhD thesis. It is supported by Empa under the supervision of Dr. Giacomo Reina (scientific supervisor) and in
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The Department of History at the University of Basel, Switzerland, invites applications for a invite applications for a fully funded, four-year (1 plus 3) PhD position in a history project led by Dr
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore