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, viral vector engineering, and computational modeling to decode the development, circuit organization, and degeneration of the visual system. We are seeking a highly motivated scientist trained in
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Certifications/Licenses Required Knowledge
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help shape a major research direction at the intersection of AI, neuroscience, and human health. Required Qualifications: A Ph.D. in computer science, computational neuroscience, biomedical engineering
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motivated Postdoctoral researcher (W/M) to join our Neuroengineering Laboratory at EPFL (https://go.epfl.ch/ramdya/ ) to work on an ERC funded project aiming to reverse-engineer insect limb motor control
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limited to stem cell and developmental biology, neuroscience, biochemistry, molecular and cell biology, computational biology and biomedical engineering. Research Focus ● Stem cell and developmental
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research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and scientists with
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optical technologies to study mechanisms of cell surface signaling, cancer neuroscience, and protein engineering, integrating molecular biology, cell biology, and systems neuroscience approaches. To support
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computer science, data science, statistics, bioinformatics, electrical engineering, computer engineering, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than