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of the future will increasingly rely on integrated digital systems that combine practical expertise with real-time feedback and predictive insights. At BFFI, we aim to improve CEA system design and crop
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that combines data from different molecular levels (transcripts, proteins, metabolites), aided by in silico target prediction, will enable us to uncover putative target of the compound, which will then be
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, and traceability in accordance with the GDPR and the EU AI Act. Integrate predictive virtual biopsy models in distributed environments. Lead pilot experiments and monitor the convergence of federated
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Outer Membrane Vesicles (OMVs) from attenuated, genetically modified Salmonella strains; - Key activities involve applying reverse vaccinology pipelines (in silico epitope prediction and 3D molecular
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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: dr hab. Natalia Szóstak Research topic Prediction of response to immunotherapy in melanoma using metabolic signatures of the gut mycobiome. I. Project description
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computational predictions with experimental observations Communicate research results effectively through publications, presentations, and team interactions Position Requirements Recent or soon-to-be-completed
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, and machine learning applications for developing predictive methods. Desirable requirements: The candidate must possess scientific maturity to solve problems, proficiency in English scientific
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CRISPRi/a screening (Cell Stem Cell 2024), 3) Deciphering pathogenic coding and non-coding variants linked to congenital heart disease in a cell type-specific manner (Cell 2022), and 4) Combining iPSC
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, structured phenotypes, medical terminology, ICD codes, and available omics and health-data resources to detect patients with clinical patterns suggestive of hEDS/HSD. The position is inspired by recent