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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic...
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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Construction Engineering, Civil Engineering, Mechanical Engineering, Computer Science, Robotics, or a related field. Ph.D. in relevant engineering degree. PhD must be awarded no more than four years prior
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interpretation (see https://solid-symposium.github.io/2025/ for examples of interdisciplinary research in this space). We seek candidates with a Ph.D. in Linguistics, Computer Science, Cognitive Science, or a
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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, Computational Biology, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with
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Your Job: QENS and INS experiments to investigate the diffusion dynamics of water and ligand molecules on metal oxide nanoparticle surfaces, accompanied by complementary experimental techniques or theoretical simulations Characterization of the magnetic modes in iron oxide nanoparticles using...