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, or as soon as possible thereafter Project Description We invite applications for a postdoctoral position at the interface of computational proteomics, machine learning, and mass spectrometry. The
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Machine Learning Employer University of Southern Denmark (SDU) Location Odense, Fyn (DK) Salary Competitive Closing date 16 Nov 2026 View more categories View less categories Discipline Chemistry
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: Token compression and adaptive token pruning; Distributed and collaborative inference strategies; Mixture-of-Experts (MoE) architectures for scalable inference; Resource-aware and latency-constrained
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soon as possible thereafter. Job description The position is part of the SNSF-funded project “AI-driven comparative QTLomics to accelerate crop improvement,” a collaborative project with
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Responsibilities Implementation of research tasks related to the project and CatMatX Lab; Collaborative and independent research planning focused on the machine-learning-driven computational discovery of
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) to collect, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning
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machine learning for plant biology Employer Aarhus University (AU) Location Aarhus, Midtjylland (DK) Salary Competitive Closing date 12 Oct 2026 View more categories View less categories Discipline
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data for Machine Learning workflows. As a person, you are collaborative and enjoy working in teams where expertise and perspectives differ. At the same time, you are able to work independently and take
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a two-year postdoctoral position focused on physics-driven machine learning for ground-based, airborne, and
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machine learning methods and pipelines. Qualifications Ideally, you hold a PhD in Data Sciences and have several years of experience collaborating with scientists in natural sciences, particularly