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results analysis. Prior experience working with membrane systems will be a plus. A recognised degree from a good University B.Eng or M.Eng in Mechanical Engineering, Aeronautical Engineering, chemical or
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is $166,600 - $249,000 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits
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proficient in computer literacy, including MS Word, Excel, PowerPoint, and SPSS; and Be a good team player and capable of working independently. Preference will be given to candidates with prior experience in
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Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships
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: in the Galicia Official Regional Gazette (DOG) -in Spanish and Galician- Call not yet published.Deadline is an estimate until official release in DOG Where to apply Website https://sede.uvigo.gal
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is ongoing until the position is filled. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408368/research-assistant-… Requirements Additional Information Work Location(s
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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of Microbial Ecology and Biogeography (https://kohoutlab.com/ ), is looking for motivated research. The person will join the consortium of the Excellence Research Centre Project “INTER-MICRO” that aims
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
6 Mar 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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required. The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, led by Laura Cantini, works at