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Field
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integrating modeling, machine learning (ML), and advanced control methodologies. The research will focus on designing AI-driven algorithms to assess battery health, predict degradation trends, and optimize
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
expose the successful candidate to cutting-edge genome editor engineering approaches and the delivery of these reagents in vivo via AAV or lipid nanoparticles. The successful candidate will also learn
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river valleys); • Identify stylistic patterns and regional variations in schematic rock art; • Apply machine learning tools for large-scale stylistic classification; • Establish a robust chronological
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multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary research. Almost all of its institutes are located on a single campus close to the Mainz city center
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learning approaches. A central aspect of this project is the formation of a complex sorption layer—known as the eco-corona—on the nanoparticles and its influence on pollutant sorption. We are seeking to hire
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more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about/organization/scientific-sections/section-for-aquaculture If you are applying from abroad, you may find useful information
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for teaching and research CV including employment history, list of publications (applicants applying for the position as senior researcher should indicate scientific highlights), H-index and ORCID (see http
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provides an exciting opportunity to explore and combine different research areas as well as to learn a variety of scientific skills and technologies while making connections within and beyond the institute
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motivated to learn. Comfortable working at the clinic–lab interface; excellent writing and communication in English (Dutch is an asset for patient-facing coordination). Motivated to work within an
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de