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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited
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extra vacation days. Through the UU Terms of Employment Options Model, you can tailor your employment package to your needs. This way, we encourage you to grow in what you do, both in your work and your
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Background information about the project: Our team recently won the Metascience Novelty Indicator Challenge . We have been developing a method that uses Large Language Models (LLMs) to analyze
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-tracking data. A major part of the work will focus on the preprocessing and analysis of multimodal time-series data. The research will specifically contribute to testing the Three-Component Model (TCM
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experiments, and communicate results effectively in writing and in presentations. Preferred Qualifications Direct experience measuring or modeling the CISS effect or spin-polarized transport in molecular and
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language models and continuous wearable data now make genuinely personalised, context-aware coaching feasible for the first time, while raising real questions about safety, equity, engagement, and cultural
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generated nanobodies in vitro and in vivo, including their affinity, specificity, stability and modulatory effects. Investigating the biodistribution of nanobodies in in vivo models. Characterising
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We are seeking to appoint a research assistant who will undertake research towards a PhD degree in Mechanical Engineering. The project objectives are to develop models for the design and analysis
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. The student will use state-of-the-art in vivo electrophysiology, fibre photometry, fast-scan cyclic voltammetry, targeted optogenetic stimulation, behavioural tasks and computational modelling to record
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statistical approaches to characterise disease trajectories, develop risk prediction models, and identify factors associated with differential treatment outcomes. The findings will improve understanding of long