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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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-superconductors Enhancing multidisciplinary research on complex interfaces by fostering collaboration between state-of-the-art X-ray, neutron and muon techniques Presentation of data at meetings and conferences
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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated individual with a strong interest in cancer genetics and genomic medicine to join our research team under Associate
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the SG100K team to shortlist participants for recruitment Run focus groups to get user feedback on procedures and concerns Check data flows, analyze the data to inform future large-scale implementation Write
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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, side-averaging, and GLIM. These tools provide new opportunities to explore the Golgi from previously inaccessible angles. Using them, we have gathered preliminary data suggesting dynamic changes in Golgi
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image