37 parallel-processing-bioinformatics-"Multiple" PhD positions at Utrecht University in Netherlands
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overview of translational regulation during development. In parallel, you will uncover the mechanisms that control localized and cell-type-specific translation, and how these change across developmental
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datasets with multiple omics layers (including genomics, proteomics, metabolomics, and microbiomics) to uncover how environmental factors shape human health at the molecular level. You will collaborate
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bioinformatic and AI tools to analyse the mass spectrometry data and improve the de novo sequencing workflows. Your work will lead to new antibody leads, that can be recombinantly produced and ultimately tested
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processes and help collectives envision and develop the organisational and digital tools required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities
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-develop practical approaches through workshops and working sessions. You will embed yourself in ongoing change processes and help collectives envision and develop the organisational and digital tools
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the restoration of peatland and coastal ecosystems? As one of the two 4-year PhD positions in the NWO funded project ‘Bioprime: applying biomimicry to produce restoration designs for multiple ecosystems’ at Utrecht
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, this PhD project will focus on developing and applying lymph node-on-a-chip (LN-on-a-chip) platforms. Your tasks: You set up co-culture of multiple immune cell types in a physiologically relevant
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-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); applying them to solve real-world problems (e.g., gradient estimation challenges
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. To fully understand these developments, this project explores the processes underlying reading and reading education, and examines how recent advances in artificial intelligence, particularly generative AI
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interested in natural language processing, geographic information and knowledge representation. It is part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA