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University of California, Los Angeles | Los Angeles, California | United States | about 11 hours ago
therefore improve TB diagnosis and patient treatment. Postdoctoral fellows will work on interdisciplinary projects within a highly collaborative environment to identify optimal combinations of TB drugs, old
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preparation. Innovation & Problem Solving - Will contribute to the optimization of experimental procedures that require novel approaches. The successful candidate will possess a doctoral degree with expertise
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innovative microfluidic technologies. Responsibilities: Designing and conducting experiments to study microbial communities using microfluidic platforms. Developing and optimizing microfluidic devices for high
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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles
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(BI), to participate in the project “Radiation Physics and Biology at the cellular level: towards the optimization of clinical dosimetry”, with reference LISBOA2030-FEDER-00841000, operation 14855
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wide range of academic fields, Ghent University is a logical choice for its staff and students. PROJECT Cross-talk: Modelling the crop-climate dialogue to optimize resources, production and quality in
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One (1) Researcher – (R1-Msc) in the field of characterization of engineering materials (52822/2025)
-nikolaos) 1.2.1 About the project MADE-3D is paving the way for the future of additive manufacturing by optimizing the multi-material process and developing innovative multi-material components. Using
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Job Description Job Alerts Link Apply now Job Title: Senior Research Fellow (Health Services and Data Science) Posting Start Date: 03/06/2025 Job Description: Job Description Optimizing
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collaboration with partners from WIAS or outside. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied mathematics
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urgent to address the sustainability of database queries. The GREENSQL project tackles this challenge by combining reproducible measurements with advanced AI models to estimate, validate, and optimize