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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
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methods that incorporate domain-specific information into latent-variable models. Investigate methodological questions related to computation, identifiability, uncertainty quantification, and interpretation
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking
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We are offering a three-year PhD fellowship in computational pharmacology and pharmaceutical data science commencing 15 October 2026 or as soon as possible thereafter. Our group and research
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expected to carry out advanced computational analyses. Our underlying model system is the in vitro differentiation of adipose tissue stem cells into adipocytes. The project is in collaboration with
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required) Strong programming and quantitative skills, including
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 2 days ago
23 Sep 2026 Job Information Organisation/Company International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences Department Computational Genomics