174 postdoc-in-thermal-network-of-the-physical-building positions at Technical University of Munich in Germany
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other Doctoral Candidates within the network. Selection Process Application Submission: Applications must be submitted by the 19th of November 2024. Selection Criteria: Candidates will be evaluated based
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- Postdoc 1” in the email title. We process and store your application files in accordance to the Art. 13 General Data Protection Regulation (GDPR) for the collection and processing of personal data https
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. However, how insects perceive, discriminate, and process the biological information encoded in CHC profiles remains poorly understood. PhD Position: The PhD candidate will investigate the chemoreception
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build models that are capable to investigate process improvements and novel technologies to enable higher resilience of operations. Therefore, you should bring a MSc. or Dipl. degree in aerospace
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, Mathematical modelling, Biology, Environmental Science, Physical Geography, or related fields. • Specific research in agricultural-environmental disciplines, and particularly with respect to livestock
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12.06.2025, Wissenschaftliches Personal The DFG-funded Collaborative Research Centre SHARP ‘Simulation-based learning in higher education: Advancing research on process diagnostics and personalised
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from a university with a focus on aerospace, physics, or related fields • Very good and fundamental knowledge in the areas of theoretical fluid mechanics and structural mechanics, as well as aero-thermal
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vibrant and interdisciplinary research environment at TUM Access to unique datasets and collaboration with a well-established European network Opportunities for professional development and academic career
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Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more
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10.06.2025, Wissenschaftliches Personal The DFG-funded Collaborative Research Centre SHARP ‘Simulation-based learning in higher education: Advancing research on process diagnos-tics and personalised