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investment in artificial intelligence over the next five years (regjeringen.no ) (in Norwegian). About the project/work tasks: This PhD fellowship is associated with the third cluster of the AI LEARN centre
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commitment to broadening access and inclusive excellence. Opportunities to learn new scientific skills and grow professionally. What you bring: PhD degree in chemistry, biochemistry, or biophysics Experience
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/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
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procedure Are you interested in this vacancy? Please apply no later than 28 February 2026 via the application button and upload the … Where to apply Website https://www.academictransfer.com/en/jobs/357690/phd
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perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will
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learning, or deep reinforcement learning; Hands-on experience with systems integration, including Robot Operating Systems; Enthusiasm to supervise UG/MSc/PhD students. Downloading a copy of our Job
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FAST-TRACK – Fast Alloy Screening for Next Generation Aerospace Superalloy Development EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute PhD Research
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and/or the CAD/CAM process is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured
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para Ciência e Tecnologia; - PhD in Electrical Engineering, Computer Science, or equivalent scientific areas - Excellent academic and practical background in machine learning, deep learning, natural
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opportunities for growth in the field of clinical research. To learn more about the research program, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper