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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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The Leibniz Institute for Surface Engineering (IOM) in Leipzig is seeking to fill the following position for a limited period of 36 months from 01.08.2025: Research assistant with the possibility
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Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human Resources Use of rooms Corporate Design Teaching Staff Back Veranstaltungen Förderformate
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Full Professorship at a later date. LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples. LMU
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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to the table You are studying in a master's program in an engineering or natural sciences field; knowledge in energy, process, or environmental engineering is an advantage. Solid knowledge in modeling of thermal
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interdisciplinary research environment, where you'll work alongside experts from fields such as transport and urban planning, engineering, data science, computer science. Skill Development: Our extensive
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in high-performance computing, materials chemistry, theoretical chemistry, molecular dynamics, data science, and machine learning are beneficial. What we offer: We offer a position with a competitive
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research programme going. In addition to benefitting your own research, you would be part of the team of core facility leads to help keep EMBL at the cutting edge. Core Funding: Leading a core facility, you