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at the interface of cognitive neuroscience, neurophysiology and data science. Profile: PhD in neuroscience, psychology, cognitive science, statistics, data science or a related field, with strong
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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requirements may apply for this grant: This postdoctoral research fellowship can only be awarded if all the following conditions are cumulatively met: a) The PhD degree in Computer Science or a related field
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programme Collaboration with Stanford University and the global LITE network Advanced training in quantitative proteomics and computational biology Relocation support and eligibility for LITE Care & Career
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techniques, high-throughput profiling, flow cytometry, molecular biology, and computational analysis on patient-derived samples and cell line models of hematologic malignancy. Specific duties include
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that prioritise student learning in the age of AI. Job requirements You hold a PhD in Educational Science, Learning Sciences, Social and Behavioural Sciences, Engineering Education, Human-Computer Interaction or a
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are looking for candidates to have the following skills and experience: Essential criteria PhD in structural biology, biophysics, biochemistry, or related discipline Experience in Biological NMR and Structural
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• Adhere to industry and institutional standard operating procedures. • Perform other job-related duties as assigned. Minimum Qualifications Required education is a PhD in Meteorology, Atmospheric Science
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Experience Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational
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minimum qualifications at the time of hire. PhD in computer science, data science, or related discipline Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed