53 parallel-and-distributed-computing-phd-"Multiple" positions at University of Copenhagen
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of collections care across multiple museum sites. This role is integral to maintaining high standards of preventive care and contributes to the museum’s mission of safeguarding its nationally renowned cultural and
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to work in a fast-paced environment and manage multiple projects simultaneously. Previous experience with quantum physics/computing not a requirement, is of course a bonus. Your personality is analytical
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have to: Participate in formal pedagogical training program for assistant professors. Participate in annual evaluations and a mid-track appraisal. After no more than six years of employment and on
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comprises a committed team of researchers and clinicians, including one National specialist, one affiliated professor DipECVN, active PhD fellows, and senior neurology clinicians. The group supports residency
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, and stability of spiral waves, as well as how these structures in turn influence neural computation in the brain. The position is open from October 1 or as soon as possible thereafter. The position is
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biology and soil functions to gain multiple benefits in new forests’ hosted by the Department of Geosciences and Natural Resource Management (IGN) seeks an innovative candidate for a position as an academic
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, Denmark [map ] Subject Areas: Astrophysics / Theoretical Astrophysics Cosmology/Particle Astrophysics Condensed Matter Physics / Computational Physics , Condensed Matter Theory Planetary Sciences
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be submitted electronically by clicking APPLY NOW below. Please include Curriculum vitae Diplomas (Master and PhD degree or equivalent) Research plan – description of current and future research plans
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the application and integration of data, code, and computational tools in the research at the departments. Assisting with practical tasks including access to high-performance facilities, server/data management, and
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in the project. Who are we looking for? We are looking for candidates with a PhD degree and demonstrable experience in food ingredient isolation, rapid experimentation, process miniaturisation