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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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pursuant to Article 13 DSGVO on the collection and processing of personal data during the application process can be found on our website below the respective job advertisement.
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pursuant to Article 13 DSGVO on the collection and processing of personal data during the application process can be found on our website below the respective job advertisement.
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and implications of data anonymization, Investigating the impacts of various anonymization techniques from a business, legal and regulatory standpoint Designing and evaluating a reference process model
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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Environment Information, communication and quantum technologies Candidates can review the research lines here: http://icn2.cat/en/research During the application process, candidates will be asked to select the
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Your profile Master's degree in computer science, Mathematics, Applied Mathematics, Computer Engineering, Software Engineering, Data Science, Information Systems (Engineering), or related fields with a
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highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving