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to teaching activities may be discussed, including the possibility of supervising Master’s students. Profile Applicants should have: • a PhD in physics or related fields, completed or expected to be completed
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characterization, and community-level activity and function analyses. This position is funded by the Swiss National Science Foundation (SNSF) and EPFL. The postdoctoral researcher will collaborate closely with PhD
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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, enabling interactive communication with biology. Profile PhD in materials science, microengineering, or bioengineering; Experience with polymer characterisation and ultrasonics is required; More than 2 peer
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presentations at lab meetings and conferences Contribute to scientific publications as well as to patents Qualifications PhD in neuroscience, neuroengineering, or related field Relevant experience in preclinical
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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habitual control. It will then test how acute stress alters these processes, combining behavioral performance, physiological monitoring, movement-based phenotyping, and advanced statistical and computational