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of Computer and Information Science , within Linköping University . Your work assignments As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your
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hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and
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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
approaches, machine learning methods) to clinical, biological, and patient reported data. Collaborate with investigators to interpret findings, prepare manuscripts, and disseminate results through peer
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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at the #10 public business school in the country. Visit our website: http://www.binghamton.edu/som/ . Requirements: Minimum Qualifications: Master's degree in management information systems or a related field
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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, and training and benchmarking of language models. The research profile of the group is heavily machine-learning oriented, and the group has access to excellent HPC infrastructure. For more information
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information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical