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will be jointly embedded and interact with PhD students and research engineers of the Interdisciplinary Institute for Artificial Intelligence (3iA) TechPool, and operates in the context of international
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signaling to join our research team. The Razani Lab focuses on understanding how innate immune signaling dysregulation in the skin leads to tissue and systemic inflammation. Our lab uses advanced synthetic
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via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building blocks of physical intelligence parallel to nodes and connections to artificial intelligence. We will
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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/ecomod ). Within the collaborative JPI-Ocean research project “Impacts of artificial light at night on pelagic ecosystems in European seas” (ALANIS), we examine how changing lightscapes through artificial
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the integration of large-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights
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opportunity to contribute to cutting-edge research at the intersection of artificial intelligence, machine learning, and healthcare. The successful candidate will develop and apply advanced machine learning
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within its workforce. Therefore, all qualified applicants are encouraged to apply and will receive consideration for employment without regard to ethnicity, religion, skin color, national origin, age, sex
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in
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. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues and stress conditions by combining single-cell genomics, artificial intelligence, and