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5 Sep 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Agricultural sciences » Other Biological sciences » Nutritional sciences Chemistry » Analytical
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Research (CGR) Lab , within the Data Science and AI division, Gothenburg, Sweden. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
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science or engineering discipline. A demonstrated understanding of, commitment to, and enthusiasm for, research in the field of fluid dynamics. A good record of, and continuing commitment to, research
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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are also studied. Our main areas or research are: the interaction between plants and microorganisms, and other forms of stress; biotechnology and metabolic engineering; growth and development of plants
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performance. Minimum Qualifications Required PhD or equivalent in computer science, computational biology, biomedical engineering, or a related field by the appointment start date Expertise and a demonstrated
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of Chemical and Biological Engineering Posting Number R260133 Posting Link https://www.ubjobs.buffalo.edu/postings/64055 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment
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University, you will work in our world-class facilities in the School of Chemical Engineering (https://www.aalto.fi/en/school-of-chemical-engineering/research-infrastructure ), Micronova, and Otanano, training
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 21 hours ago
. Description: The Next Generation X-ray Optics (NGXO) team at NASA Goddard Space Flight Center develops advanced X-ray mirror technology using segmented monocrystalline silicon to enable future high-performance