208 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI"-"https:"-"https:" positions in Switzerland
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Graduate Institute of International and Development Studies, Geneva; | Switzerland | about 1 month ago
period. The Geneva Graduate Institute has an interdisciplinary MA programme (MINT) and awards MAs and PhDs in five departments: IHP, International Economics, International Relations & Political Science
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to preferences and behavior in other policy realms. To answer these questions, the team relies on an original approach combining survey and geocoded data with survey experiments. Job description Program surveys in
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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We look forward to receiving your online application with the following documents: Motivation letter Curriculum vitae Research and teaching statement (no more than two pages) Deadline for all application materials: 16 February 2026 at 23:59 CET. Please note that we exclusively accept...
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) experienced researcher to develop and apply computational methods for novel
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), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology