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project on geographic patterns of crimes and their environmental determinants, developing and employing (new) GeoAI and quantitative research methods . More specifically, the candidate will focus on 1
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. The PhD fellow will (1) conduct terrestrial laser scanning fieldwork across a range of ecosystems; (2) contribute to the development of new methods to analyse multitemporal 3D data from terrestrial laser
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learning algorithms. The two PhD students hired through this vacancy will primarily contribute to the development of debiased learning methods and assumption-lean modeling tools, and their application
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methods for coupling physics priors to transformers that can interpret multiscale, multirate and multimodal data seeking for industrial and societal impact and adoption of your methodologies presenting your
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methods for detecting and mitigating collisions presenting your research at conferences and in journals cooperating with researchers active within the research group and outside Job profile We look for a
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and to support various approaches for N flux modeling and analysis. The successful candidate will be responsible to answer research questions related to the use of spectroscopy methods, e.g., visible
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community. We will monitor the evolution of root trait development using both destructive and non-destructive methods, and assess how the activity of microfauna controls this development, both directly and