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, Bioinformatics, Computer Sciences, or related field, or an equivalent terminal degree (MD, DVM, PharmD or MD/PhD), and at least 1-2 years of postdoctoral training. The selected individual must positively and
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
ecologist working in coastal systems, who applies modern approaches in causal inference, experimental ecology, spatial modelling, and data science, including the use of machine learning to produce rigorous
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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography
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. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to solve problems. The Successful Candidate Will A curious scholar with a
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Professor position in the area of learning sciences, education technology, and AI in education. This is a research-focused faculty position for a scholar prepared to lead an independent and externally funded
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both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other
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chemistry, from the use of advanced electronic structure methods to the development of dynamical approaches to study photochemical reactions, also including machine learning. The group is part of the Cluster
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specialised expertise in the Machine Learning for Engineering sub-theme. Candidates from all areas in machine learning are encouraged to apply, with a special focus on the areas of (i) information theory and
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your