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, first on whether these indeed drive these aberrant states, and second on whether these indeed drive the growth pattern. You will be embedded both within an experimental and computational team, providing a
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no earlier than 01/03/2025. Basic programming experience and good statistical skills. A high-level analytical capability and an inquisitive mindset. Ability to define research goals and design an experimental
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machine learning. Embedding within an experimental team, with direct availability of experimental validation for machine learning models. The candidate is encouraged to follow along some experiments to
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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. Previous experience in mammalian cell culture, structural biology (cryo-EM) or membrane protein purification will be preferred. Candidates should demonstrate a strong motivation and commitment to solve
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research interests, experience and motivation to join the team. Contact information of 2 references. University degree transcripts. A shortlist of applicants will be selected and invited for interviews
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of cellular and molecular biology, including collaborative settings with clinical partners Good communication skills and fluency in English Bonus but not required Experience with quantitative
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required Experience in work with Arabidopsis, plant development and plant hormone biology Key personal characteristics Highly motivated, hardworking and passionate about driving and performing research and