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for assessment will be informed about the composition of the Assessment Committee and later about the outcome of the assessment. Once the recruitment process is completed, all applicants will be notified
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
transfer enhancement, bioinspired. The system should be numerically modeled, experimentally assembled and tested. Different working conditions will be tested, namely with the use of PCM materials and
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, composition, and temperature of each major circulation event. The project will rely on all identifiable markers of fluid circulation in order to assess: - Major circulation events and their timing
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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therapies, and disease models, including mutant mice and iPSC-derived neurons to further understand neurodegenerative processes. These projects are funded by multiple grants from the NIH. This opportunity
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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
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, conventional restoration, and cathodic protection (ICCP)—alongside the selection of optimized repair mortars. Your work will involve modelling the complex correlations between intensive contact-based
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objectives are to process and characterize plant-based biomolecules from industrial food by-products and the development enzymatic extractive and precipitation models to maximize recovery efficiency and
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(NLR) is looking for a highly motivated intern to join our team and support the development of composite data center load models for transmission planning studies. The internship will focus on building
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that directly improve quality, throughput, and process stability. You will build, test and deploy data-driven (AI) models for the control of the robotic manufacturing process based on actionable insights