1,305 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at Nature Careers
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to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
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Design and use of data spaces and digital twins for materials and autonomous material laboratories Use of deep learning methods to connect theory, simulation, and experiments Integration of high throughput
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submitted online via the appointment portal of Heinrich Heine University Düsseldorf: https://berufungsportal.hhu.de If you have any questions regarding the position, in particular concerning the bioeconomy
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obtained from https://mrclmb.ac.uk/research-leaders/madeline-lancaster/. Informal enquiries can be addressed to mlancast@mrc-lmb.cam.ac.uk. The LMB has a collaborative working culture and state-of-the-art
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
exclusively in electronic form and in accordance with the “Applicant Guideline Format Template” and the “Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni
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-led comprehensive university through upholding the highest international standards of excellence in its research pursuits, scholarship, teaching and learning, and service to the community
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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Application deadline March 15, 2026, at 2359 hrs. CET Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3666/?lastSelectedFacet=CATEGORIES
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must submit online applications via the BRIC-CDFD website at https://recruitment.cdfd.org.in/. Review the full advertisement and terms before applying; visit the site for complete details. Deadline: Last
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for three letters of reference to be submitted via https://www.pks.mpg.de/reference . Please submit all materials by April 3rd, 2026. Apply now Prof. Dr. Frank Jülicher Max Planck Institute for the Physics