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a circular process based on users and stakeholders engagement, co-design and assessment of innovative climate services. The proposed methodology will employ high resolution regional Earth Systems
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candidate will join the EDFM group at the Technical University of Munich to advance our understanding of the adaptive capacity of European forests to natural disturbances. This position is embedded in the DFG
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funded by the German Center for Infection Research (DZIF), in collaboration with national and international partners, including the Cluster of Excellence RESIST and the Helmholtz Centre for Infection
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guidance and support for employees, doctoral candidates and students Your Profile: Master`s degree with subsequent PhD in theoretical physics or a similar field Background and strong interest in developing
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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professionals. The overarching goal is to gain a deeper understanding of natural developmental trajectories and to develop effective short-term interventions, which are evaluated in collaboration with
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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Job Announcement ref. #04-25008 For its Division River Ecology and Conservation in Gelnhausen, the Senckenberg Research Institute and Natural History Museum in Frankfurt am Main, Germany, is seeking