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the collaboration. In particular, the following open questions will be addressed: What is a sequence-structure-function representation space for molecules in the context of closed-loop optimization, that supports
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-suited for this PhD position, highlighting your scientific background, programming skills, motivation, and commitment (details matter). Specific examples will help clarify how your qualifications align
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culture Practical experience with single-cell RNA sequencing workflows Essential skills for project 2: Broad background knowledge in cell biology and neuroscience, with a focus on CNS biology and iPSC
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project investigates how to better structure, manage, and align early-stage and later-stage financing for university-based deep tech startups. The candidate hired will be expected to explore financing gaps
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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the molten salt/metal interface at multiple scales, from atomistic to mesoscopic, with the goal of identifying the fundamental mechanisms driving corrosion. Moreover, you will use this knowledge to suggest
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working within a diverse team of scientists in multiple stages of their career. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled
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Engineering and the activities will be developed at lab and pilot plant scale. This project is a collaboration between multiple partners, including Department of Chemical and Biochemical Engineering, DTU and