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to understand the underlying mechanisms and develop predictive capabilities. The project aims to apply deep learning and artificial intelligence to make predictions using imperfect data and partial knowledge
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. We welcome applicants with a PhD (or equivalent) in biostatistics, statistics, or a closely related quantitative field. We seek scholars with training in biostatistics/statistics and demonstrated
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is expected to have a profound knowledge on most of the following topics: Robot control Deep Learning Medical imaging Preferably, the candidate has experience with: Robotic simulation tools Medical
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on campus students, undergraduate online students and graduate Students. This role will also serve as a liaison between academic schools/departments and the Grizzly Testing and Learning Center to ensure
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 months ago
languages) # Knowledge of modern deep learning frameworks (e.g. pyTorch, Tensor-flow, Jax, ...) # Experience working in Linux shell/cluster environment and on shared resources # Experience of collaborative
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Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 1 month ago
. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network
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yrs. of experience in field or PhD in field of expertise + 0-2 yrs. of experience in field Research Specialist, Psychometrics & Machine Learning Applications: $67,150 - $83,900; Master's in field
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for REF 2021 - Research Excellence Framework. For more information about our research results and case studies please visit the following link: https://www.exeter.ac.uk/research/ref2021/ Projects Available
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leadership and specialist advice, particularly in fostering outstanding research and/or learning and teaching within UTAS and Department of Health. What we’re looking for: A PhD or equivalent in a relevant
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; a global network of campuses and partners for students and faculty to leverage for learning and research; a deep investment in lifelong and experiential learning; a premium placed on pedagogical