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of many more complex processes that should harbor a wealth of undiscovered druggable targets. Thus, a large space of potential druggable biology is entirely ignored. We aim to fundamentally revolutionize
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yourself as an international expert in advanced ultrasound imaging and to contribute to technologies that may fundamentally change diagnostic imaging workflows. Where to apply Website https
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electrophysiological complexity of the human gastrointestinal tract in order to investigate intestinal infectious diseases and host–pathogen interactions. Within this framework, the NCM (Nanobiointerfaces and Conductive
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unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/362709/postdoc-complexes-for-novel-flo… Requirements Additional Information Website for additional job details https
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, or uncertainty-modelling approaches for complex systems analyse infrastructure, spatial, temporal, networked, or urban systems data contribute to the preparation and submission of journal articles, conference
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computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday temporal resolution. Background in network science, statistical physics and complex
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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collaboration with ISGlobal as well as our international network of antimicrobial-resistance specialists across Europe, Asia and the United States. Main tasks and responsibilities: Establish and characterise in
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refine LCA models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental