173 programming-"Multiple"-"U"-"Embry-Riddle-Aeronautical-University"-"Prof"-"U.S" PhD positions
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National Research Council Canada | National Capital Region Almonte, Ontario | Canada | about 23 hours ago
Research Council Office across Canada Classification: RO/RCO Tenure: Term Work Arrangements: Depending on the nature of the work and operational requirements, positions hired through this program may be
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Course location Gießen Description/content The GGL provides an interdisciplinary, concisely structured graduate programme for all Life Science disciplines at the Justus Liebig University (JLU) in
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Sarah Kate Bearman). (2) NAMI-funded pilot study of flexible mental health literacy program for middle school students (PIs Sarah Kate Bearman and Molly Lopez (UT Austin)). (3) Foundation-funded
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Programme duration 6 semesters Beginning Only for doctoral programmes: any time Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No
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PhD Scholarship – Feasibility, Acceptability and Utility of a Person-Centred Behaviour Change Program to Slow Cognitive Decline in Older Adults Job No.: 677725 Location: Clayton campus Employment
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particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously and in close interaction within a team Most
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an integrative approach that combines advanced multiomics, spatial transcriptomics, and structural biology with physiological assessments. By selectively perturbing key gene expression programs during homeostasis
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Degree Dr Course location Darmstadt Teaching language English Languages The programme is in English only. Participants have to write their doctoral theses in English. Full-time / part-time full-time
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in applied research abroad for their outstanding scientific achievements. For more information please see the Fraunhofer-Bessel Research Award programme information. Programme information (PDF, 71 KB
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade