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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | about 9 hours ago
20 Mar 2026 Job Information Organisation/Company University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Department Department of Design, Chair of Machine Elements Research
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of buffers and reagents, isolation of RNA and DNA, PCR, Western blot, ELISA (for techniques, training is optional), knowledge of office computer programs, ordering reagents, taking care of glassware. Position
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking two
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diffraction data where the information extends towards 3-d space. Machine learning offers promising approaches for the solution of complex problems of disorder, ultimately aiming at general and automated
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?: Preferred Computer Applications: Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Knowledge of clinical research and records review Email to a Friend https
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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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highly specialised software development group comprises about 20 full-time employees. More information is available at http://www.icgi.no and http://www.domore.no . The position is based in the Digital
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Department/College/Area/ Campus - https://creamery.wsu.edu/ Area/College: College of Agricultural, Human and Natural Resources Sciences (CAHNRS) Department Name: Creamery Location: Pullman, WA Application
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, you will work within the Research Safety Program team to support WSU research and teaching with radioactive materials and radiation-producing machines. The Radiation Safety Program team maintains
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and machine learning based analyses including predictive modeling and real world evidence generation. Basic Qualifications: MS in computer science, biostatistics, biomedical informatics or related field