214 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"https:"-"FCiências" positions in Switzerland
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Department of Pathology and Molecular Pathology Non-Tenure Track Assistant Professorship of Computational Functional Tumor Pathology 100% Start of employment by agreement, temporay The Faculty
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Your profile You are enrolled in a Bachelor's or Master's program in Finance, Economics, Data Science, or a related field and have a strong interest in financial economics and research. You possess
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The MAS MTEC programme at ETH Zurich is currently undergoing a strategic transition. As part of this phase, we are seeking an Recruitment & Admissions Manager to strengthen and further develop
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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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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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competitive research program in molecular immunology, with a potential for therapeutic translation. The professorship focuses on understanding how the immune system interacts with diverse tissue environments
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of material science. Examples are the use and development of muon instrumentation for the study of quantum and energy materials. The research program of this new professorship will be able to take advantage
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. This international PhD is part of the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Your profile Qualification and specific competences required Master's degree
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100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction