174 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" PhD positions in Denmark
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, with a particular emphasis on column generation approaches. Column generation is a powerful decomposition method for solving large-scale linear and mixed-integer programming problems. Rather than
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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: Develop your own PhD plan outlining experimental trials. Design and conduct in vivo trials with salmonids. Collect biological samples and observational data from lab-based studies and at real fish farming
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one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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qualifications include: Experience with traditional Intelligence analysis tools. Good programming skills in Python, or similar. Curiosity and interest in Agent-based Modelling, Simulation, and Computational Social
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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Job Description Do you want to grow as a scientist and become a microbiome researcher at the best technical university in Europe? Do you want to hone your scientific skills and use programming
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning