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Field
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highly desirable. For NeuroAI focus: Proficiency in popular deep learning, computer vision and/or user-interface software frameworks (such as Pytorch, TensorFlow, OpenCV, PyQt, Gradio etc). The candidate
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reports, and conduct high-quality research in advanced battery materials, electrochemistry, electrolytes, electrode-electrolyte interfaces and energy-storage systems; work closely with academic, industry
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the informatics of surface and interface structures, predicting synthesis conditions, properties, and functionalities vital for catalysis, advanced coatings, and thin films. We are particularly looking
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We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers
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About us The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. You will join the Computational Cancer Biology Group led by
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our
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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning
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of) a PhD in computer music, product/industrial design, human-computer interaction (HCI), disability studies, mechanical engineering, mechatronics, robotics, design engineering or other relevant field
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successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab) School Harvard Medical School Department/Area Position Description Our Lab Join our team of researchers, engineers, and