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how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional
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Research Infrastructure? No Offer Description Are you interested in understanding and modeling human capabilities to shape the future of autonomous systems? We are looking for a motivated PhD student to join
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or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health
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transcription models. The pipeline will include manual annotation and correction as integral steps, requiring an annotation platform integrated with model training to enable continuous, iterative improvement
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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longitudinal cohorts, SATSA and Betula, integrating established dementia biomarkers with inflammatory, metabolic, and genetic data using advanced statistical modeling and data-driven methods. The doctoral
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chemical engineering processing, material recycling, nuclear chemistry, theory and modelling. We have expertise in Chemical Engineering, combining experimental research with modelling techniques. Our
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modelling. At the division of Applied Chemistry , we primarily focus on applied research, that is, research aimed at addressing societal challenges and that is ready for implementation either immediately or
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will be responsible for developing and implementing assays to investigate the impact of chromatin mutations on cancer cell function. You will establish and validate novel cancer cell models using western