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OlsztynCountryPolandGeofield Contact City Olsztyn Website http://wbib.uwm.edu.pl/ Street Oczapowskiego 1A Postal Code 10-719 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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an international peer-review system Publications within the project’s research area Training in higher education teaching and learning Experience researching innovation and patenting in historical perspective
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an enthusiastic group of colleagues, who seek to push the boundaries of knowledge on public administration and public policy? Do you want to teach for the highest graded educational programs in the Netherlands? Do
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, engineering, and the broader questions of how AI systems affect the people and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related
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/Province Bremen City Bremen Website https://www.uni-bremen.de/en/the-martian-mindset Street Postfach 330 440 Postal Code 28334 E-Mail [email protected] martianmindset.applications@uni
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be favorably considered. If you are a non-Swedish speaker, we expect you to try to learn Swedish when you start your position (SLU arranges Swedish courses). Emphasis will be placed on personal
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theory, with many possible research directions. The supervisor will help the selected candidate choose appropriate research questions and acquire the required skills. We aim to create a collaborative
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++ and/or Python) Authoring of scientific publications and a doctoral thesis Presentation of research results at international conferences Where to apply E-mail [email protected] Requirements
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, such that other team members can teach and support them Desirable: Having taken courses on soft matter physics and/or chemistry with good scores Experience in research on liquid crystals, elastomers and/or
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applicability. By bridging machine learning, behavioural science, and clinical research, the project seeks to establish foundational methods for trustworthy agentic AI systems that can be deployed across diverse