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https://recrutement.univ-angers.fr/poste/j3ltpma3ph-post-doctorante-en-electron… Requirements Research FieldOtherEducation LevelPhD or equivalent Skills/Qualifications Knowledge: • Solid knowledge
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, shortlisting and interviews: Name: Judith Apsley Email: j.apsley@manchester.ac.uk General enquiries: Email: recruitmentservices.people@manchester.ac.uk Technical support: https://jobseekersupport.jobtrain.co.uk
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/certification?: Preferred Computer Applications: Not Applicable Preferred Other Computer Applications: BIM and/or AutoCAD Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https
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Cryo-EM Single Particle Datasets Using 3D-to-2D Flexible Fitting based on Molecular Dynamics Simulation. J Mol Biol. 2023;435:167951. https://hal.science/hal-03929029 [3] Valimehr S, Vuillemot R, Kazemi
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flexibly; willingness to help; and an active learning attitude are required. Salary and Conditions of Service Salary offered will be highly competitive, commensurate with qualifications and experience
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environment. Must be proficient in cashier and computer functions, stocking sales floor, and receive merchandise and transfers. All of these proficiencies will be in accordance with established policies and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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in a decision to pursue your candidacy, you will be contacted by phone or email. Quicklink for Posting https://uscjobs.sc.edu/postings/204732 EEO Statement The University of South Carolina does not
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properties. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/ The successful applicant should have, or be working towards a PhD in materials chemistry, membranes
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. This is a one-year position with the possibility of extension. The start date is flexible. For more details on our research and recent publications, see the Geometric Machine Learning Group's website: https