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and future mechanisms in the evolution of the Earth's climate and external environment, using observations and modeling exercises. The PhD thesis is funded by the French-Brazilian (ANR-FAPESP) AMACLIM
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the details of the interaction at atomic resolution, including the full length receptor. The goal is to understand the structural and dynamic properties of the complex, the impact of the lipid environment and
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We are offering a PhD fellowship in “Agentic AI and Foundation Models for Global Pathogen Analysis” commencing September 1st, 2026, or as soon as possible thereafter. Our group and research
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PhD Opportunity: Critical transitions in timeseries from soil & earthquakes From the collapse of the Amazon rainforest to financial markets, from earthquakes to degraded farmland - complex systems
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-generation multimodal foundation models for digital patient twins in oncology and cardiovascular medicine. The position is part of the EU Horizon Europe project TWIN-X, Digital Twins with Generative AI
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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-based AI for multidisciplinary tumor boards. The successful candidate will develop LLM-based pipelines, semantic harmonization, and transformer-based temporal models on a large multimodal oncology dataset
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existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in-depth qualitative evidence on how