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Field
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, particularly insect decline and species distribution models (SDMs), are desirable • Experience with and knowledge of a programming language commonly used in data science (e.g., R or Python) • Experience and
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
produced by PBF-LB. After identification of the most relevant parameters adopting a design of experiments strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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analysis framework that supports flood-resilient urban design by combining multi-sensor Earth observation (EO) data, hydrological–hydrodynamic models, urban digital twins, and advanced AI methodologies
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, MATERIALS SCIENCE, MODELING AND SIMULATION, MOLECULAR SIMULATIONS, NUCLEAR WASTE MANAGEMENT, PLASMA PHYSICS, PHOTOVOLTAICS, SYNTHETIC FUELS AND GREEN CHEMICALS, SYSTEMS ANALYSIS, TECHNOLOGIES FOR THE HYDROGEN
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highlight the potential of microbiome intervention in immuno-oncology. In our team, we actively integrate translational data, functional assays and preclinical models, to understand and overcome mechanisms
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Tropical Silviculture and Forest Ecology Ecosystem Modelling Wildlife Management Biodiversity, Macroecology and Biogeography Landscape Resilience Course organisation The PhD programme in Forest Sciences and
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and their interactions with the immune system, while also investigating new compounds with potential therapeutic effects. The department VIRI studies viral infections in animal models and in models
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and calibrate empirical models with the aim to generate evidence-based policy advice for national and international decision makers in health policy and healthcare management. The team also plays a
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intestinal homeostasis and disease. These studies involve state-of-the-art culture techniques for intestinal organoids derived from mice and human patients as well as in vivo mouse models. As part of this PhD