123 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Nature Careers
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are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with
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Range – Base Compensation [Research Faculty w/ PhD Degree] Instructor/Research Associate: $69,336 to $120,000 Assistant Professor: $104,674 to $270,496 Associate Professor: $146,845 to $217,733 Professor
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of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after the deadline will not be considered. All interested candidates irrespective
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relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will engage in
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track
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Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking two excellent and enthusiastic PhD students with a strong interest in microbiome research
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DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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publishing in international journals We expect that you have: The successful candidate must have a PhD degree or document equivalent qualifications in a relevant field related to environmental sciences, like
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims