35 data-visualization-analysis-"https:" Postdoctoral positions at EPFL in Switzerland
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research domains Good team spirit We offer A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website (https
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. The precise research topic(s) will be discussed with the successful candidate depending on their background, expertise and affinities. Analysis and publication of results Build a strong network in the field
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our broader scientific vision. Main duties and responsibilities Working and collaborating on research projects; Analysis, communication and publication of results; Participate in PhD and master student
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of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
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FACS sorting of cells Preparation of NGS libraries Data analysis Experimental design of the screens together with bioinformaticians Your profile Hands on experience in single-cell analysis and/or
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international working environment Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary
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positions. https://www.epfl.ch/labs/entc/ Education You will work closely with Dr. Davide Bavato, head of EPFL’s recently established Entrepreneurship Education Hub. The Hub is developing a structured
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab (https://www.epfl.ch
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, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation (SNSF). We
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to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell