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Field
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motivated and independent researcher with a strong interest in artificial intelligence, computational materials science, and scientific software development. Mandatory qualifications A doctoral degree in
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to, atmospheric science, environmental engineering, earth observation, and computer science. Strong programming skills and experience with machine learning applications in geoscience are highly desirable
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create knowledge, innovations, and solutions that help move the world forward. Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and
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of publications and 3 letters of recommendation. Admission Requirements PhD in microbiology, bioinformatics, molecular biology, biogeochemistry, or related biology fields. English: excellent read, written and
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
fellow will advance cropping systems research at the University of Missouri Plant Science Department in collaboration with the USDA ARS Cropping Systems and Water Quality Research Unit. This is a two-year
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control engineering at both undergraduate and graduate level at Chalmers, including within the master’s programme Systems, Control and Mechatronics. About the research project High-power charging is
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We’re looking for a candidate with: A PhD degree, in chemical engineering, applied chemistry or similar Proven experience in working with electrochemical systems Proven lab skills Experience with
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, the applicants should have: PhD diploma in Transportation, Logistics, Civil Engineering, Mechanical Engineering, Maritime Engineering, or any other related field. Experience with agent-based modelling is essential
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, graduate students, and undergraduate students. Position Requirements PhD in Mechanical Engineering, Aerospace Engineering, or related field Excellent reacting flow multi-physics computation experience in
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to, atmospheric science, environmental engineering, earth observation, and computer science. Strong programming skills and experience with machine learning applications in geoscience are highly desirable