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experimental studies with healthy volunteers using psychophysical methods, psychophysiological measurements, mathematical modelling, and machine learning approaches. RESPONSIBILITIES: Participate in
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) NORTE2030-FEDER-01192300, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following conditions:: Scientific Area: Computer Engineering Admission
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- Criterion 2 - - Specific knowledge related to the work plan: Knowledge of basic laboratory techniques and familiarity with computer programs for document processing, data analysis or image processing
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, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
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14 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Other Researcher Profile First Stage
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to use dexterity and fine motor skills assemble, build or repair machines or other objects. Frequent (51-80% of the time) use of office equipment. The position requires minimal (5-20%) physical effort such
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into consideration. Please submit your complete application by sending it to [email protected] , preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de . Application Deadline