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working as part of team Sound computer skills (MSOffice, SAP) Flair for solution-oriented, unbureaucratic approaches Workplace Workplace We offer Work-Life Balance Flexible working models (such as part-time
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Program, creating value for participating companies while strengthening long-term engagement with EPFL. Main duties and responsibilities Foster trustful relationship with a portfolio of companies having a
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circuits, neuronal tracing, viral or genetic manipulation of neurons, in vivo models, imaging, or computational analysis of single-cell or spatial datasets. Candidates from neuroscience and neuro-immunology
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). The successful candidate is expected to lead an independent, world-class research programme in the area of cellular organization and dynamics, working at the interface of cell biology, biochemistry and biophysics
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difference that script strictness, an aspiration with human employees, becomes an enforceable parameter with a large language model. The programme comprises laboratory experiments with live voice interaction
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We are looking for a research assistant (with a workload of 20%) to join our ongoing research program on online discourse and how to improve it The primary responsibility lies with our data pipeline
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empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic contexts. We are interested in
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develop an internationally recognized competitive research program sustained by external funding. Significant teaching experience at university level of human general endocrinology and endocrine physiology
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related projects (open source services evaluation, server maintenance, workshops organization, …) Profile Higher education in computer science or equivalent Very good expertise in cryptography: elliptic
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science