14 phd-project-management Postdoctoral positions at Technical University of Munich in Germany
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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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reinforcement learning Strong project management and mentoring skills Excellent command of English; German is a plus but not required What We Offer A highly dynamic and interdisciplinary research environment
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products and processes in real-time. Why join us Creative freedom – opportunities for knowledge growth – industry connections – dynamic team Your tasks • Scientific research and project management
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support throughout your time at our Center. We look for… • a team player with completed (or nearly completed) doctoral degree (PhD or equivalent) in management, organizational psychology, sociology
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the study of the impact of digital and computational pathology on clinical workflows and patient care. Our lab is located in the heart of Munich at the TUM Klinikum rechts der Isar (MRI), Institute
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science) Project management experience and good self-management Interest to work on a collaborative project with international partners and direct links to policymakers Excitement to work in an
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. Opportunity to work on your own ideas and collaborative projects. E.g., possible open projects in our group include AI for tumor bud detection, or multimodal AI for improved patient care and others. Opportunity
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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exchange with industrial and scientific partners during the project, Co-supervision of PhD candidates and Master’s and Bachelor’s students on projects related to 6G-Life, Funding acquisition and management
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the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level management. Our group combines empirical work