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qualifications You have or expect to soon complete a PhD in information systems, economics, computer science, marketing, econometrics or a closely related field. You demonstrate a strong interest and a proven
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Gif sur Yvette, le de France | France | 3 months ago
: Programme pour normalien (hors ENS Paris-Saclay) et polytechnicien Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/135045 Requirements Specific Requirements Cette proposition de
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a highly interdisciplinary research topic at the interface between laser physics and materials science, allowing the PhD candidate to acquire advanced skills in material spectroscopy, complex laser
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Qualifications Minimum Qualifications PhD from an accredited institution Engineering, science, management information science (MIS), or related technical field. Level I: No experience required Level II: 2 years
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reason at any time. Qualifications Required Qualifications MS in a technical field (electrical/computer engineering, materials science, physics, or closely related); PhD strongly preferred. Eight years
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subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python (PyTorch, scientific Python) with solid
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Champalimaud Foundation (Fundação D. Anna de Sommer
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Employees Department AAH COB Graduate Programs Department Homepage https://business.ecu.edu/grad/ Advertising Department COLLEGE OF BUSINESS/GRADUATE PROGRAMS Division Academic Affairs Classification Title
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the management of interfaces to other ESA directorates and to partnering space agencies, including platform federation activities. Technical competencies Strong background in computer science or software
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Methods 21, 1063–1073 (2024). https://doi.org/10.1038/s41592-024-02277-8 Docherty, Robert Julian (2019) Improving peripheral nerve regeneration: a multimodal approach. PhD thesis, University of Glasgow