26 machine-learning-"https:"-"https:"-"https:"-"https:" uni jobs at Nature Careers in Germany
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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. Responsibilities include: Managing and mentoring a multidisciplinary team of machine learning and image analysis experts Coordinating DCU activities across partner sites and aligning them with HI strategy Co
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outstanding researchers with a strong track record of advancing the state of the art in machine learning and potentially its application to biology and biomedicine, with the ambition to build an internationally
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the transfer of new ideas from the lab to real-life applications, improving lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
quantum technologies. This research can be complemented by digital methods of process simulation and optimization, as well as machine learning. Requirements include an outstanding PhD in materials science
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Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
key role in the foundation of interoperable, machine-readable data platforms, powering AI analyses and automated workflows. You will collaborate with top scientists from all subject areas at BAM
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, the Helmholtz AI consultant team has been providing Machine Learning (ML) and AI expertise to Health research scientists from Germany’s largest research organization, the Helmholtz Association, with great success
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skills in data science, advanced AI interface development and machine learning?to apply climate change and other relevant data to real-world problems exchange and coordination with project partners Your
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-performance climate computing and data facility. Our expectations: outstanding scientific credentials and relevant research activities in high-performance computing, machine learning, or AI significant
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an advantage Extensive knowledge and experience in digital signal processing Know-how of and experience with using machine learning methods for measurement data processing and evaluation is an