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, characterizing their structural and electrochemical properties, and integrating them into functional electrochemical systems. By joining this research, you will contribute to laying the foundation of a sustainable
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Researcher (PhD Position, m/f/d) Neural Circuits and Behavior This position is limited in accordance with § 2 WissZeitVG and § 72 HessHG, offering the opportunity for individual academic qualification and with
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: Excellent study or research performance You possess high scientific integrity Master’s degree (or equivalent) in immunology, biology, biomedicine, microbiology, bioinformatics or similar Knowledge in
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. • Interdisciplinary Perspective: Integration of historical and analytical approaches with modern concepts from innovation and team research The study places particular emphasis on the “moment of creative breakthrough
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dynamics inherent in hydrological systems, offering a promising direction for integrating machine learning with physical modeling. The potential of neural ODE models in hydrology has been discussed in [3
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molecular biology techniques and smFISH. Conduct multi-omics data integration across experimental platforms (e.g. NGS, Imaging time lapse, particle tracing) Collaborate with interdisciplinary research teams
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: This PhD thesis project is integrated into the EURECA consortium. The overarching objective of EURECA - The European Epitranscriptomics of Cancer Academy-, is to train young doctoral candidates
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to corroborate our findings. By integrating molecular biology, genetics, and biophysical approaches, we aim to obtain new mechanistic insights into the regulation of mRNA export, one of the central pathways
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods into the open data AgiMo Digital Twin, (4