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cohorts. Duties The project combines single-cell, multi-omics data with large scale human genetics to investigate the cellular origin of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD
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selection models that will be applied in ongoing domestication and plant breeding efforts. You will work with large genotypic and phenotypic datasets and apply biometric approaches on different selection
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An opportunity to carry out research at the forefront of human genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr
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Although information on fish stock structure and population trends are critical for conducting analytical assessments for sustainable fisheries management and scientific advice, our current understanding
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of millions of lakes worldwide. The successful candidate will create innovative solutions that significantly enhance large-scale environmental simulations and meaningfully advance the modeling of global lake
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research, addressing the big data and artificial intelligence challenges of our industry partners. The advertised position will be placed in the Engineering Resilient Systems (EReS) Research Lab (https
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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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. evaluate and summarize your large amount of complex data, possibily involving state-of-the-art machine learning methods developed in the group by other team members, and share them with our cross-diciplinary
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The fully funded 2-year Postdoc project "Modelling of thermomechanical behaviour of AM-built microstructures of superalloys based on data from large-scale neutron and synchrotron infrastructures
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare