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both machine learning and symbolic AI. The discovery of new solid electrolytes is a core project target. You will have a PhD in Chemistry, Physics or Materials Science. The post is available from 1st
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical
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techniques; Machine Learning 5G, 6G, IoT, and embedded systems; Demonstrated relevant academic production in high-impact scientific journals; Advanced English proficiency. Responsibilities: 1) Elaboration
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statistical modelling such as machine learning methods and demonstrated experience in the handling and analysis of big data would be highly desired. The successful applicant will also demonstrate personal
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Physics, Electrical Engineering, Material Science or closely related field in hand
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for improving the computational prediction and modelling Teach and disseminate your knowledge Furthermore your key tasks as a PhD-student will also include: Carrying through an independent research project under
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NASA LAS director. Candidates must have a PhD in a related field. Four years professional experience in machine learning is preferred. FAA Part 107 and/or Part 61 piloting certifications are encouraged
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, with a focus on HPC, HPDA, machine learning, artificial intelligence and computational modeling/simulation. The main aims for EuroCC2 in Cyprus include strengthening these technical competencies
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focus on (i) generative models and machine learning of structure-property relations (ii) crystal point defects for quantum technology applications (iii) excitons and nonlinear optics. You will work in an