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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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that will consider the electromagnetic aspects, through computer modelling and simulation, and then identify material systems that enable the design and manufacture of antennas for test and characterisation
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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users
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/ Computer Science, Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering, Computer Engineering or Applied Mathematics Programming Skills: Programming Experience with Python, C/C++, ROS
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for detector support mechanics and cooling, as well as an in-house facility to design, develop and build silicon detectors. At Purdue we also operate a Tier-2 computer center, providing resources for data
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. Where you will be working You will work within the Physical-Organic Chemistry department as part of the Big Chemistry Robotlab team. At the Robot Lab, a team of chemists, computer scientists and engineers
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for the AI Security Researcher role. Originally created in response to one of the first computer viruses -- the Morris worm – in 1988, CERT has remained a leader in cybersecurity research, improving