32 engineering-engineering-"https:"-"https:"-"https:"-"https:"-"https:" "Georgia College" Postdoctoral positions at EPFL
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experimental systems, physiological sensing, signal processing, human movement analysis, computational neuroscience, biomedical engineering, data science, and/or advanced quantitative behavioral
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting
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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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/ Position 2 / Both]". Applications will be processed as they arrive until the positions are filled. Additional information about our research can be found at https://cnai.epfl.ch . EPFL is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace.
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collaboration and visiting opportunities; EPFL is an international and world-class engineering institution that hosts state-of-the-art experimental facilities and a rich and vibrant scientific and
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collaboration and visiting opportunities; EPFL is an international and world-class engineering institution that hosts state-of-the-art experimental facilities and a rich and vibrant scientific and
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candidates with A PhD in machine learning, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in
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Mission Within the faculty of engineering (STI), the Galatea Laboratory explores novel paradigms to tailor material properties locally using lasers. Our research involves three main clusters
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novel measurement and generation schemes, explore measurement precision limits). In the lab, you will learn about optical technologies and engineering, ultrafast fiber lasers and electro-optical
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D