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to apply Website https://portale.units.it/en/research/phd/call Requirements Research FieldChemistry » Physical chemistryEducation LevelMaster Degree or equivalent Skills/Qualifications Good knowledge
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The position is hosted in the Department of Mechanical and Process Engineering (D-MAVT) of the ETH Zurich, in the Zentrum Campus in Zurich, Switzerland. D-MAVT (https://mavt.ethz.ch/) is an interdisciplinary
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. The doctoral candidate will be enrolled in the PHENIICS Doctoral School (Physics: Hadrons, Energy, Nuclei, Instrumentation, Imaging, Cosmos, and Simulation) at Université Paris-Saclay. This doctoral school
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month ago
2018.917). The following personal data are processed during the recruitment process: first name(s) and surname, image, names of parents, date of birth, place of residence (correspondence address), education
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» Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD (third-cycle university degree) in a technical field, such as Materials Engineering, Surface Engineering, or Physics. Proven
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competences of candidates; can be found on the website: https://hrs4r.agh.edu.pl/rekrutacja-i-praca#c39212 The recruitment procedure is divided into two stages: formal assessment – assessment
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the healthcare/MedTech sector. This shift from process-centric to data-centric micromanufacturing constitutes a paradigm shift in how knowledge, control, and value will be created in micromanufacturing platforms
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to restore pericytes in the brain and retina. For more information, visit our lab webpage at https://med.umn.edu/ophthalmology/research/junge-lab Responsibilities: Experimental Research: Conduct in vitro and
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Department BSD SUR - Minimally Invasive Surgery About the Department The Section of Minimally Invasive Surgery at the University of Chicago is an internationally recognized academic surgical program
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep