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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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optimization of cryogenic detector systems and apply AI methods to analyze the data collected by these systems, addressing key physics questions related to dark matter and neutrino interactions. This position
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. The position will be in the research group Hydrogen Spectroscopy, which is part of the Chemical Energy Carriers and Vehicle Systems Laboratory at Empa. The laboratory conducts, develops and optimizes processes
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-on engineering. You will evaluate emerging storage technologies, lead deployment of petabyte-scale storage platforms, optimize performance, and develop secure, reliable storage services spanning campus, cloud, and
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14 Aug 2026 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Website https://www.academictransfer.com/en/jobs/362932/phd-position-sensing-viscosity-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/362932/ Work
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from annotated subglacial bedforms; (iii) designing, training, optimizing and assessing deep-learning detection/segmentation models; (iv) producing a database of outlines and morphometric parameters
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quantitative methods. Project topics may include statistical modeling, machine learning, optimization, data analysis, mathematical modeling, AI-related applications, financial modeling, healthcare analytics
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understanding and enable the optimization of catalysts and experimental conditions. More specifically, the student selected for this position will be tasked with mapping the MHAT reactions of alkenes by
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-specific deep brain stimulation (DBS) therapies. Under the direction of Luke Johnson, PhD and Matt Johnson, PhD, the succesful candidate will work collaboratively within the NMRC/NRTL on a clinical research