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Field
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optimization, and technological applications. Research in the field of neuro-inflammation would be desirable. The applicants should strengthen this focus by incorporating existing research networks
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sensors, actuators, transducers, etc. Fundamental knowledge of the structural mechanisms behind electromechanical coupling will allow for their systematic exploitation and go beyond the empirical approaches
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of computer science, mathematics, physics, electrical engineering or related courses with good to very good grades Programming experience, especially good to very good knowledge of Python Experience with machine
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of organisms, and to use mechanistic insights to optimize the management and conservation of freshwater ecosystems. Your tasks Develop and lead an independent research group that tests ecological concepts
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optimization of tailor-made endolysin variants using modern bioinformatic methods and tools. What you contribute General university entrance qualification Doctorate Very good English skills Knowledge of common
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include: Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process, Implementing and testing various neural network architectures to optimally analyze
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
an internationally recognized researcher with in-depth knowledge and experience in materials science/solid-state physics, specializing in photonics/quantum technologies, documented by outstanding research achievements
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linkages based on numerical simulations and to transform them into AI- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit
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digitale Kompetenzen University Sports Center Knowledge Media Research Center (IKM) Isotopenlabor & Strahlenschutz Tübingen School of Education (TüSE) Zentrum für Evaluation und Qualitätsmanagement
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cells and bipolar flow and non-flow batteries. An interdisciplinary team of engineers, chemists, and materials scientists works together to optimize stack-based systems with a focus on efficiency, power