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projects using international cohorts and registries. Analysing data on reproductive outcomes, hormonal health, pregnancy and disease trajectories. Collaborating with international experts, clinicians
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part of the international CLEAR-IT consortium, a multidisciplinary collaboration focused on understanding how indoor air pollution drives chronic lung diseases. In this role, you will be based
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of MOF-peptide combinations, prioritizing the most promising systems for detailed simulation and experiment. Closely collaborate with your experimental colleague to link computational and experimental
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fragment-based drug discovery to identify and characterise promising compounds. Contributing to the development of a functional GPCR assay pipeline and the evaluation of lead molecules in collaboration with
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. Evaluating selected candidate therapies in leukodystrophy models to assess proof-of-concept efficacy. Collaborating with researchers at InnoSer, Amsterdam UMC and other POLARIS partner organisations. Planned
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; applying behavioural and neurological phenotyping and other experimental approaches to assess disease mechanisms and treatment responses; analysing and interpreting experimental results and collaborating
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Research Agenda and the Brazilian research council CNPq . Within the project, you will closely collaborate with another PhD candidate at Utrecht University on stakeholder perspectives, several consortium
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information for reliable parameter reconstruction. You will work in close collaboration with the research department at ASML, the Centrum Wiskunde & Informatica (CWI, Prof. dr. Tristan van Leeuwen), and the
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department at CARIM and work in a highly collaborative, international, and multidisciplinary environment. You will closely collaborate with researchers and clinicians across experimental, clinical, and
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will collaborate with a fellow PhD candidate and a postdoctoral researcher on integrating differential privacy into the generative pipeline, balancing privacy guarantees against data utility. You will