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Postdoctoral position in machine learning for the development of novel semiconductor materials Login and apply Lund University Lund University was founded in 1666 and is repeatedly ranked among the
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care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from
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high-dimensional, intensive longitudinal smartphone log data Develop and validate interpretable machine learning models linking behavior and context to well-being outcomes Publish as lead and co-author
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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/1qx5sh5sxjki1ivmnqvbr/JHM_PDA_092826.pdf?rlkey=tjei3tmocexxesccofble867f&st=og3o855s&dl=0 REQUIRED : PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with
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/JHM_PDA_092826.pdf?rlkey=tjei3tmocexxesccofble867f&st=og3o855s&dl=0 Job Requirements REQUIRED : PhD in a field of quantitative science; strong background in machine learning and signal processing
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large‑scale systems neuroscience with machine learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high
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scientific publications during the project. Methods / Means Python, PyTorch, self-supervised learning, multi-sensor data processing and Git. Applicant Profile PhD in machine learning, applied mathematics