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OF THE SILESIAN UNIVERSITY OF TECHNOLOGY announces the competition for the position of assistant in the group of research and teaching employees (F/M) in the Department of Mathematical Methods in Technology and
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priorities and ensure efficient use of time and resources. Able to exercise independent judgment. Knowledge of molecular biology testing methods and associated instrumentation Email to a Friend https
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Service Laboratory (NPSL). Develop, validate, evaluate and implement new methods in clinical and forensic chemistry, following all safety and laboratory policies and procedures, maintain required
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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experience in the area; Computer knowledge from a user perspective; Ability of verbal expression and fluency in Portuguese and English Professional rigor and good teamwork ability; Driving licence; Immediate
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decision-making across diverse applications in computer vision and data analysis. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional
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complex administrative support functions; to utilize college enterprise software systems with common business applications and a wide variety of computer applications including word processing, spreadsheets
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computational methods while contributing to Duke Law’s mission of promoting data literacy within legal scholarship. Minimum Requirements Bachelor’s degree in statistics, mathematics, computer science, engineering
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
23 Dec 2025 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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-depth expertise in Computer Vision and Photogrammetry. - Mastery of state-of-the-art Neural Rendering (NeRF, NeuS, SDF). - Knowledge of Photometric Stereo methods. Operational Skills: - Advanced