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written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Background in biochemistry, cell
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
of material deposited, while maintaining the expected accuracy. Part of the activity will also involve implementing Artificial Intelligence (AI) methods similar to computer vision to facilitate this prediction
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Engineering » Simulation engineering Engineering » Mechanical engineering Engineering » Computer engineering Engineering » Industrial engineering Mathematics » Applied mathematics Mathematics » Computational
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(R1) Positions PhD Positions Application Deadline 26 Mar 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jun 2026 Is the job funded through the EU
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member will be hired to coordinate our minor in Counseling and support our Counseling Psychology PhD program with potential to contribute to the Counselor Education masters programs through courses cross
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independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department
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players/soloists as necessary (paid via separate ensemble budget) Prepare publicity and program materials including program notes and artwork in collaboration with Concerts Manager Performance materials
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inquiry and an inclusive learning community. GCSU enjoys a strong reputation for academic excellence and nationally ranked programs according to US News & World Report, The Princeton Review and Colleges
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development, artificial intelligence, computer simulations, programming and programming languages, ethics of technology, service learning, and integration of Christian faith and scholarship. Core attributes we
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project The main objective of this PhD project is to explore and analyze bio-inspired neural architectures for early detection from spatio-temporal data under realistic sensing and computational constraints