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Aarhus University’s Department of Ecoscience invites applications for a 2-year postdoc to co-develop a spatially-explicit individual-based dynamic energy budget model (DEB-IBM) for high-Arctic
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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The Department of Psychology at the Faculty of Health Sciences, University of Southern Denmark, Odense, invites applications for a position as postdoc within the research areas of network modelling
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
The Department of Mathematics and Computer Science at the University of Southern Denmark, Odense, invites applications for a postdoctoral research fellowship in models of quantum programming
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thereafter. We are seeking a detail-oriented and well-structured candidate to support our research on ecological modelling and simulation, contributing to projects within sustainable agriculture and ecological
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in crop modelling in climate adaptation and resilience, starting 01-12-2025 or as soon as possible
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably
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based on an advanced human intervention study, utilizing both in vivo animal models and in vitro cell-based systems. Opportunities for research exchanges to international and national collaborating
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genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers an exceptional
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms