77 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Netherlands
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seek a highly driven and talented individual with a passion for planetary health and a commitment to driving change. You should bring: A PhD in a relevant discipline (e.g., public health, environmental
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close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted
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interventions. Your qualities This position may be the right fit for you, if you: have a PhD in Museology, Heritage Studies, History or a related discipline; have experience with public engagement and curation
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secularism, and particularly in normative debates on political secularism and the philosophical quality of public political deliberation in Iran. Ideally, you: have a PhD degree and expertise in a relevant
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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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within the domains of food, living environment, and society. With approximately 30 locations, 7,700 staff members, 2,500 PhD candidates, and over 13,000 students, Wageningen University & Research is among
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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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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