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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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at the heart of these crises: they determine how ecosystems are managed, how biodiversity and ecosystem services are affected, and to what extent human demands are met. Large-scale economic and land-use models
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immunometabolism. Immune dysregulation contributes to many human diseases, including cancer, cardiovascular disease, chronic infections, and neurodegeneration. Developing drugs that restore immune function could
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Analytical thinking, data analysis, and critical problem-solving skills. Commitment to rigorous scientific standards and accurate record keeping Time management and ability to work independently Excellent
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this project, funded by the Swiss Federal Office for the Environment (FOEN), the occurrence of PFASs in ambient air will be investigated. Sampling a broad range of PFASs simultaneously is challenging, as is
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methodology and software for Probabilistic Resilience Analysis (PRA) of major hazard plants and nearby communities under NaTech multi-hazard accidents. Define resilience indicators and recovery functions based
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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welcome) Entgeltgruppe 13 TV-L/75% to be filled. Starting date is 10/1/2025. The position is for three years. The positions are advertised as part of the Research Training Group 2491 "Fourier Analysis and
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applied mathematics in general. Mobile working A certified (Audit berufundfamilie) family-friendly work environment. Berlin is one of the most culture-rich and diverse international cities in the world. It
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: The PhD project is methodologically independent, with