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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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genomic, transcriptomic, epigenetic, proteomic, digital spatial, and other ‘omics data in healthy and disease states close interaction with the bioinformatics and immunology teams of Katrin Kierdorf, Julia
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Responsible for RTL design (VHDL, Verilog) of digital blocks and
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. The Structured Doctoral Programmes in the MMMIGS Network Currently, six structured doctoral programmes are part of the MMMIGS network: the EASE Integrated Research Training Group (EASE IRTG), Empowering Digital
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teaching at the Chair, in particular with a focus on the planning and design of railroad systems application and continued development of digital planning methods such as Building Information Modeling
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- WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Tasks: academic research and teaching at the Chair, in particular with a focus on digital twins and AI applications
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Skip to main navigation Skip to content Skip to footer Skip to search Uni A-Z Contact Search Search (via Ecosia) Search Search Login Login Login Form Login Language Choose language German English
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variety of academic backgrounds, including but not limited to: Computer science (e.g. in AI/ML, systems, HCI, security, privacy) Law (data protection, tech regulation, digital rights) Public policy or other