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information, please have a look at https://microsunset.dtu.dk/ . To be eligible for a MICROSUNSET PhD-position, you must not have lived, studied, or worked in the host country for more than 12 months in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
parking areas with approximately 23,000 parking spaces providing employee, student, patient/visitor, and event access to the UNC campus. The University and UNC HealthCare System rely on a multi-modal
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standards (CCNE, ACEN) and regulatory requirements Preferred Qualifications Experience in multi-campus or large-scale nursing program clinical operations Background in nurse practitioner education or advanced
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arrangement Description: We are seeking a Post-doctoral Associate to lead a multi-phase investigation into the socio-cultural implications of Engineered Genetic Incompatibility (EGI) within the U.S. grass
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contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level variability; 4) collaborating with others at NOAA's
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- $41,872 FLSA Status: Nonexempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Reimer Lab (https://www.bcm.edu/research/faculty-labs/jacob-reimer-lab) studies sensory processing across
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the Stanford research environment, they develop multi-year business plans and pilot innovations within the Stanford healthcare ecosystem. The role includes direct engagement with investors and strategic partners
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modelling, data assimilation, and multi-scale neural network architectures applied to spatio-temporal data. The development of these methods is motivated by a concrete and important application: inferring gas
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. Project Description This project will include experimental work on industrial pilot-scale plants at the Energy Innovation Centre – including the multi-fuel gas turbine and the hydrogen electrolyser. A
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en