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research; Experience with quantitative data analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to
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, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has demonstrated research experience with foundation
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computer science, computational linguistics or a related field, completed by the start date. Research experience in NLP, particularly large language models, dialogue systems or natural language generation
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. Support research coordination and academic service. Your profile PhD in computer science, computational linguistics or a related field, completed by the start date. Research experience in NLP
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students; contribute to lab meetings and methods workshops Your profile PhD in psychology, computational social science, data science, cognitive science, statistics, computer science, or a related
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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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advanced computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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understanding materials structure in material, life- and medical sciences. The PostDoc research will be part of a multi-center research project on applying and combining multi-modal 2D and 3D imaging
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photonics in a young and dynamic team. Excellent infrastructure through the cleanroom at EPFL, the Lausanne center for ultrafast science, and the Quantum Science Center at EPFL. Competitive salary