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Austria (ISTA). The position is funded for 2 years (Postdoc, 100%, 40h per week) or 3 years (PhD, 75%, 30h per week). Remuneration is in accordance with the German public tariff scheme (TV-L), salary group
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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well-suited for candidates with a solid background in synthetic inorganic or organometallic chemistry. Postdoctoral Researcher for Synthesis in Molecular Inorganic Chemistry Institution: Chair
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-average doctoral degree (PhD or equivalent) in management, organizational psychology, sociology, economics, business informatics, or a related field, • With a solid knowledge of empirical research methods
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degree or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. Experience in reachability analysis, formal verification/model checking, control theory, or related
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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social or behavioral sciences (incl. human-computer interactions with relevant experience). Applicants must demonstrate experience in experimental work with human participants; possess versatile
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Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands