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The applicant must: hold a PhD in a relevant field (e.g. computer science, artificial intelligence, machine learning, computer vision, animal science, biology, veterinary medicine, or a related discipline) have
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No set minimum requirements. Required License/Registration/Certification None Physical Requirements Requires
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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-plant biology, genetics, biochemistry, systems biology, or a related field. Minimum Requirements Qualifications: PhD in plant biology, genetics, biochemistry, systems biology, or a related field
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graphs and related structures, limit theorems, stochastic calculus and applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department
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biological sciences to prepare them for a multitude of careers that depend on a solid understanding of biology. To learn more, please visit us at https://www.bio.tamu.edu/ . We are a prestigious university
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applications for postdoctoral or more senior research associate positions broadly in statistics and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep
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. The position bridges machine learning and molecular science, with opportunities for collaboration, mentorship, and impactful research. About us The Department of Computer Science and Engineering (CSE