911 computational-physics "https:" "https:" "https:" "https:" "UCL" uni jobs in Germany
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very
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04.05.2025, Academic staff We look for a motivated bioinformatician/computational scientist or postdoctoral candidate from the life sciences with experience in single-cell analyses who contributes
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and proximity to the state capital Erfurt attractive savings opportunities with numerous corporate partners as part of the Fraunhofer Corporate Benefits Program We value and promote the diversity of our
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relevant environment. In the future, we are aiming to extend our activities and are looking for candidates with (one or more of) of the following expertise: Use of generative AI in the chip design process
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technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to push the
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then get back to you as soon as possible and let you know what happens next. Do you have questions about the position or the application process? We’re here for you: Lea-Sophie Fingerhut Strategic
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then get back to you as soon as possible and let you know what happens next. Do you have questions about the position or the application process? We’re here for you: Lea-Sophie Fingerhut Strategic
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domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics, Engineering, Chemistry, Physics or a similar subject. Most importantly, you should be
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on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer
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to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes