263 programming-"Multiple"-"Duke-University"-"Humboldt-Stiftung-Foundation"-"U.S" PhD positions
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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motivated applicant to undertake an original and applied programme of research linked to ongoing work led nationally by the Chartered Institute for the Management of Sport and Physical Activity (CIMSPA
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University College. The candidate is expected to apply and be accepted in our Doctoral Programme “Digitalisation and Society”. Read more on our website: Digitalisation and Society The candidate is expected
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should have: Undergraduate or Master’s degree in Economics or another quantitative discipline (completed by start date). Advanced programming skills in Python and either R or STATA. Willingness and ability
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through the University’s Apply to Newcastle Portal by clicking the 'Apply' button, above. Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
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fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
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combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid