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of computational predictions into experimentally validated drug leads. Position Responsibilities: Design and execute computational screening campaigns to identify and prioritize candidate small molecules
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areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The project aims to develop a digital twin (DT) for predicting and managing corrosion and microbially
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advanced modeling techniques to create privacy preserving realistic data, and predict disease trajectories, outcomes, and other clinically relevant endpoints. They will also explore and exploit latent spaces
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impact of expanding low oxygen regions). RECLESS aims to predict how ongoing ocean deoxygenation impacts microbial nitrogen transformations and thereby the future availability of nitrogen to support
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., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as Python, R, MATLAB, or Perl
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multimodal datasets. The goal is to generate predictive models that provide valuable causal and probabilistic insights into clinical and population health outcomes. In addition to technical research
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+ benefits Closing date: rolling basis Goals & Expected Impact “Promoting human health through early diagnosis of degenerative brain disorders” Revolutionise early diagnosis and prediction of neurodegenerative
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Post Doctoral Researcher in Human-centred Large Language Models for Software Engineering, Departm...
to Software Engineering for some time, and in areas such as software effort estimation, defect prediction, and project management in general. And more recently, the proposal of Large Language Models opened a
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immune markers that predict successful vaccine boosting, and to reveal basic mechanism of vaccine boosting during B cell depleting therapy. You will be based in the immunology laboratories of Associate
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develops prediction methods and future scenarios for coastal systems. One focus of our research is the study of coastal ecosystems, which are subject to increasing pressure to change due to climate change