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Advertisement for the field of study such as: Automation technology, electrical engineering, computer science, cybernetics, mechatronics, control engineering, software design, software engineering
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
leading role in the development of a dual-study program in Physics (BSc) or an international four-year BSc in STEM subjects. The requirements for an appointment include a completed university degree, a
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experimentation using disease models What we offer A structured PhD training program with close supervision Opportunities for independent and collaborative research Targeted training in state-of-the-art
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of data protection law Requirements: First law degree or LL.M Willingness for interdisciplinary cooperation with experts from the field of computer science- reliability and punctuality Good command
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studies. Required skills: Experience in managing multidisciplinary teams in an international and intercultural environment, including technical and scientific staff PhD in Computer Science or a related
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, evaluation, and presentation of measurement series for scientific publications What you contribute You are a student in the field of photonics, physics, engineering or a similar study program. You have basic
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offers for your personal development promote your talents Our Corporate Health Management Program offers a holistic approach to your well-being Application: Please submit your complete application (in
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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colleagues. Constraints that come with your studies will be respected. What you bring to the table We are looking for a student of computer science or a related field with a focus on speech technologies
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scientist with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related field Experience in applied data science and machine