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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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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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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
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for gas-phase catalysis. Development and application of ultrasensitive methods to probe gas–surface interactions by means of electron spectroscopy. Operando studies of catalysts using low dose-rate and dose
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developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working
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. Applicants will be informed of their assessment by the university. About Nordcee At Nordcee, six key research areas are explored, Microbes and Element cycles; Deep-sea research, Co-evolution of Life and Earth