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PhD Position in Method Development for Peptide Ionization and Fragmentation_3590 Project Description We invite applications for a fully funded PhD position in experimental proteomics. The successful
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– Adaptive & Agentic AI. The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g
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or retain functions, and how these processes contribute to the evolution of agronomically important traits in domesticated plants. By combining comparative genomics, evolutionary analyses, and computational
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interactions in formulation environments. The position contributes to the development of pharmaceutical data science, integrating computational chemistry, molecular modeling, and quantitative analysis
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
to the development and improvement of experimental methods and measurement techniques in this field. High-pressure phase behavior and thermophysical properties are essential for the reliable design and safe operation
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value
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to the development of background-suppression techniques for single-photon detectors used in axion experiments, operating at optical and infrared wavelengths. The research project includes the installation and
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Senior Researcher in Ecosystem based marine management, nature restoration, and anthropogenic imp...
-functioning oceans, rivers, and lakes where biodiversity can thrive. Our research, advisory service, and education contribute to the development of a sustainable blue bioeconomy, robust aquatic ecosystems, and
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bioprocess optimization. The successful candidate will contribute to the development of sustainable bioconversion platforms for the transformation of biogas-derived carbon into amino acid-enriched biomass
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working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses. MSc