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for candidates to have the following skills and experience: Essential criteria 1. PhD (awarded or close to completion), or equivalent experience in human-computer interaction, AI or similar 2. Expertise
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Nanopore). In addition, the role will include the collection and processing of DNA samples to create a training data set for age prediction machine learning models. Key responsibilities include: Undertake
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and oral form. Ability to work in a team. Desirable criteria Knowledge of gene regulation and/or DNA replication. Experience with genomics and next-generation sequencing. Basic bioinformatics skills
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data. The resulting datasets will form high-dimensional spatial atlases that connect molecular processes to cellular interactions, tissue architecture, biomechanics, and organism-level function
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diagnostics and therapeutic stratification in lung cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will
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and analysis (confocal, multiphoton) Bioinformatics skills, including experience in single-cell RNASeq analysis Excellent communication (oral and written) skills, with a track record of publishing in
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from patients with psychotic illnesses, curate and process these datasets, and derive both functional and structural brain networks. This will include using our group’s new Morphometric Inverse
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pipeline. Building on the second phase, the postholder will then turn these strategies (perspective-multiplying, tension-preserving and process-reflecting) into a working participatory layer through which
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Biology demonstrated by good research track record Familiarity with SAXS methods and data analysis Relevant experience with data collection, processing and data analysis for complex multidimensional NMR
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process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We