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visible research infrastructure Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR), ideally supported by a certificate confirming
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good communication and interpersonal skills Experience in writing scientific publications Good command of English Desirable Qualifications: Knowledge of the GFZ flood risk model RFM is an asset Knowledge
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controlled perturbation of CNS pathways with simultaneous, quantitative immune readouts. A particular focus is encouraged on brainstem-mediated neuroimmune regulation, particularly circuits involving
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engineering practices (version control, reproducibility). • Proven experience in data analysis / method development for experimental signals (e.g., spectroscopy, ultrasound, optoacoustics, biomedical sensing
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quantitative, real-time multimodal mesoscopic and microscopic imaging. • Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative
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biology, bio-technology, or related fields Strong expertise in pluripotent stem cell culture and differentiation Interest in standardized and automated cell culture systems Solid experience in Python and
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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02.07.2024, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc or Doctoral Candidate (f/m/d) in Intelligent Energy
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and are not yet used regularly in industrial development processes. We believe that fully automating the verification process is a crucial step towards a broad acceptance of this technology. Our pre
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University Munich in the Department of Physics. The position is part of the Focus Group Molecular and Interfacial Engineering of Organic Nanosystems at the Institute for Advanced Study (IAS) headed by Prof