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Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application
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connectivity operate as one. You will join an interdisciplinary and collaborative research environment that values creativity, initiative, and experimentation. We combine deep systems research with hands
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time at NY Creates Albany NanoTech Complex, where you will collaborate with staff using 193 nm deep-UV ltihography to fabricate devices at 300mm-wafer scale. Essential Duties and Responsibilities: You
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. Lab: https://www.helabucb.org/ Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent
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research visits with external collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo
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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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contributions to sea level rise with improved accuracy. You will have a passion for Antarctica and quantitative skills that include programming and machine-learning or numerical ice sheet modelling. As the
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Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: https
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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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Department of Epidemiology and Environmental Health Posting Number P250195 Posting Link https://www.ubjobs.buffalo.edu/postings/58536 Employer State Position Type Professional Appointment Term Term Salary