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Field
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of translation is crucial for controlling protein levels and guiding development. In the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging
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combining fieldwork, labwork and sequencing analyses? If yes, then we may have the perfect opportunity for you! The Laboratory of Nematology at Wageningen University & Research is seeking a motivated and
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behind state-of-the-art. This project tackles that gap by building generative AI models that produce context-aware, grounded gestures: responsive to objects and to interlocutors, aligning speech and visual
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: responsive to objects and to interlocutors, aligning speech and visual signals for richer, more natural interaction. In this project, you will carry out research as described in the project proposal, which
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to perform sequence and structure analyses. You will also present your research at national and international conferences and publish your results in peer-reviewed journals. About your workplace Our lab is at
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mindset. You have good statistical skills and experience with analyzing metabolomic and metagenomic sequencing data. You like to work in diverse settings as you have to communicate closely with a diverse
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-throughput sequencing to reveal how these structures influence cells and genomes. This is an opportunity to join a team at the forefront of genome maintenance research and contribute to discoveries with
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sequencing data. You like to work in diverse settings as you have to communicate closely with a diverse team (i.e. microbiologists, data analyst, cell biologists, immunologist, engineers). You are a team
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applications. Your key responsibilities: • Develop, validate, and apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post
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disciplinary and transdisciplinary. However, there is a lack of knowledge on co-creating constructively aligned engineering curricula that balance and support the development of transformative competencies