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See PhD theses | SCK CEN Selection process See PhD theses | SCK CEN Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en/thesis-and-internship-topics
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 days ago
Infrastructure? No Offer Description The aim of this PhD is to model the development of microstructures during welding processes on thick parts, in the context of nuclear equipment, for which deposits of several
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scalable, cost-effective processes for bulk chemical production of cycloalkanones PhD enrolment: Delft University of Technology DC9: Process development and optimization of dioxygenase catalysed
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biologic therapy, integrating data from clinical trials and real-world studies. The model will be used to simulate and evaluate optimized dosing strategies for special populations, including hard-to-treat
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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: https://slice-dn.eu/ LinkedIn: https://www.linkedin.com/company/slice-dn/ Reference to data protection: The personal data you submit will be processed at TU Dresden in accordance with its Data Protection
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. Wilfred G. van der Wiel (W.G.vanderWiel@utwente.nl ). Screening is part of the selection process. Website for additional job details https://www.academictransfer.com/357677/ Work Location(s) Number
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responsibilities include: Selection and characterization of optimal target proteins and complexes, involving their recombinant expression and purification in bacterial and eukaryotic systems. Characterization
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scenario. Objectives - Create forward models of the wave-interaction and crack propagation processes. - Use inversion methods to extract defect information from the scattering data. - Develop a probabilistic