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in digital health, fitness, and rehabilitation. Preferred Qualifications Background in machine learning/deep learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL
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decision-making in multi-agent autonomous systems by leveraging and combining deep-learning based motion predictions and optimization-based motion planning. Key research questions include multi-modal
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boasts a small community-like atmosphere that fosters deep and impactful relationships with students and families from all walks of life over many years. P.K. Yonge is committed to creating a learning
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advanced level (higher education) in the research subject or equivalent competence. Experience with deep learning and machine learning tooling.· In-depth knowledge of LLMs and Transformer architectures
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natural resources. The Clinic is an immersive and multi-modal experience, exposing students to the broad range of work in which environmental attorneys engage. We teach students key lawyering and advocacy
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us as an Administration Officer and play a vital role in guiding students through their learning journey - from enrolment to certification. As part of the Seafaring & Maritime Operations (SMO
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cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding of molecular mechanisms of disease development. PhD
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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. Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with 3D data formats, graphics, and geometry processing. Preferred Qualifications Hands-on experience
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Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate