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estimation, calibration, and out-of-distribution detection. The PhD candidate will work on novel algorithms, theoretical insights, and large-scale empirical evaluations, with a strong emphasis on
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
rheology. The PhD student will also characterize the structure of the ABC star block copolymer samples using electron microscopy and possibly small-angle scattering techniques in collaboration with a postdoc
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will investigate the distribution, sources, and characteristics of micro- and nano-plastics in hadal sediments. The work will combine deep-sea sediment sampling with advanced analytical approaches
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mathematical modelling and simulation. Partial differential equations will be applied to model drug distribution and partitioning in multiphase systems using the drug’s partition coefficient as a driving force
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-mode trap instruments supporting both collisional- and electron-based dissociation Contribute to spectral annotation workflows in collaboration with a computational postdoc Disseminate findings through
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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you! Responsibilities and qualifications The PhD scholarships address four exciting topics. For all positions, you will collaborate closely with a group of PhD students, postdocs and international
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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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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine learning for improving