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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets
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(especially related to applications of artificial intelligence), and real-world experiences so students not only accumulate knowledge but also develop the commitment and desire to apply what they learn in
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. The lab takes a genomics approach to biochemistry to study transcription factor function. Our work combines experiments, theory, computational modeling, simulations, machine learning, and evolutionary
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Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We
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. Job interviews will be held on Zoom in November. More details on the project: https://vval.univie.ac.at/research/cycling-together-bersepeda-bersama/ The guidelines for a PhD dissertation at the Vienna
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://bidmap.berkeley.edu/ Division: https://cdss.berkeley.edu/ Qualifications Basic qualifications (required at time of application) Completion of a doctoral degree (e.g. PhD), or equivalent international degree
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Assistant or Associate Professor -East Asian Buddhism- Department of East Asian Languages & Cultures
about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit the Office for Faculty Equity and Welfare's website . Department: https://ealc.berkeley.edu
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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, well-defined research agenda in sport management who have the ability to teach sport management courses and other courses in the RST core. This position builds on the Department's interdisciplinary