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postdoc candidate, with a keen interest in academic and professional development, who meets the following requirements: a PhD degree in computer science or artificial intelligence; demonstrable machine
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary Dr. Shin is seeking a PhD post-doctoral fellow for the project, which is VA merit grant funded, entitled “Role of ATRX, a chromatin remodeler
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for candidates with a PhD from another university than Aalborg University. The positions are open to outstanding candidates who wish to develop and lead their own independent research project within one
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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multidisciplinary bioimaging programme, 3DxN. Background Ageing and disease are accompanied by changes in the appearance of tissues and cellular microenvironments. Current clinical pathology relies largely
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Theory, Department of Environmental and Energy Sciences. Become a part of the team and contributing to research on current and future mobility service usage and attitudes among car and non-car owners
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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning