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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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studies investigating target-directed microRNA degradation (TDMD) in T-cell acute lymphoblastic leukemia Establish, optimize, and maintain T-ALL experimental systems, including cell line, primary patient
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including FTIR, DSC, TGA, MFR, rheology, DMA, GC-MS, HPLC, SEM Development of new polymer formulations through the targeted use of fillers, reinforcing fibers, additives, and adhesion promoters Optimization
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? As a machine learning researcher, you will initiate and work on innovative data-driven solutions in the bioeconomy and food domains. One example is improving fermentation screening for plant‑based
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function approximation and optimal control. ● Contribute to writing scientific papers on the project results and assist in disseminating these results at conferences and workshops. The selected candidate may
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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, Professor and Rector of Universidade do Minho, in the use of his own competence, in accordance with the terms of subsection d) of section 1 of article 92 of Law no. 62/2007, from September 10th and subsection
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activities within the field of battery materials. The candidate will work in a dynamic team of approximately 10 PhD/MS students and researchers and, therefore, should be skilled to work in team as
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Department: College of Science Classification: 12-month Research Faculty Job Category: Research Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA