31 phd-in-architecture-landscape-built-environment Postdoctoral research jobs at Technical University of Munich
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–biodiversity relationships are linked to acoustic comfort–restoration outcomes. The models will integrate spatially-explicit structural complexity variables, landscape imperviousness variables, biodiversity
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-funded project TOADAPT, which investigates the social-ecological adaptive capacity of forests across multiple scales and disturbance regimes. Your profile Completed PhD in forest ecology, environmental
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) to improve disease characterization. Develop cutting-edge architectures (e.g., federated learning) for medical research. Publish high-impact research in leading journals and conferences. Collaborate with
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” are ready to be exploited. • You will also be involved in the training of students. Your qualifications and skills: • You have a PhD or equivalent degree in biology, agri-cultural biology or any related field
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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CW and femtosecond optical spectroscopy methods. Preference will be given to candidates who already have some postdoctoral experience, but applications from recently graduated PhDs with an excellent
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early
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within the team and with external partners, contribution to teaching activities, and active engagement in the broader academic life of the group. Work Environment The successful candidates will join a
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of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of environment, and the future of mobility. More than 50
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. The aim of our group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level