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equal qualifications. Contact If you have any questions about the application or the project, write an email (see website): Prof. Dr. Felix Dietrich The research group homepage: https://www.cs.cit.tum.de
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/grades Important Technical Note: Currently, email addresses associated with domains such as @hotmail.com, @outlook.com, or @live.de may experience occasional delays or restrictions in receiving messages
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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past datasets within the URBank (https://urbank.earth ) initiative. The full-time position will be for a period of 3 years, with the possibility of a 1-year extension, and based in Jena, Germany. The
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. Use the online application form https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=064e9a95856fc8c606af0fa06c613846ab19e79a to submit your application (click the apply button at
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. This PhD project combines laser optics, precision metrology, electronics, and advanced data analysis in close collaboration with the University of Bonn and an international DFG-funded research unit
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is based on separating the mechanical function of the substrate from the transport of electronic charge carriers, thereby overcoming corrosion as the primary degradation mechanism. To realize
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The increasing complexity of future power systems, driven by renewable energy integration, power electronics, and distributed energy resources, requires computational methods capable of solving security assessment