87 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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prehistoric Cyprus. Four PhD candidates will investigate how migration, buildings, burial practices, and figurative objects were used to negotiate social inequalities. Key tasks Conduct collaborative and novel
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if you Have a PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with
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the following requirements: A PhD degree in Chemical Engineering, electrochemistry, or related fields. Solid knowledge and demonstrated skills in one of the following areas: coordination chemistry
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Key takeaways To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave
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strong roots in biophysics, biochemistry & molecular biology, cell biology, chemistry, computational biology, microbiology or genetics are organized in two focal areas: ‘Molecular Mechanisms of Biological
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Duijnhoven , which currently consists of 6 PhD students and 2 postdocs. Within the NWO-project, you will closely collaborate with the postdoc and Principal Investigator (Prof. dr. Riccardo Fodde) at Erasmus MC
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and
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the inspiring research group of Economic and Social History external link , one of the world-leading groups in the field. Your qualities You bring the following qualifications: a PhD in social, economic and/or
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manuscripts. Qualifications We are looking for candidates who have A PhD in Geography, Economics, Regional Science or any other related discipline (with a strong social science component). Excellent English for
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-world environments will require rigorous testing and validation. Portability and Performance: Balancing the need for lightweight portability with the computational demands of high-fidelity simulations is