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of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to invent, develop and evaluate novel methods for pre-training and fine-tuning of perceptual foundation
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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edge applications. Tasks and responsibilities: Develop new deep learning, computer vision and multimodal learning methods for pre-training and fine-tuning perceptual foundation models. Actively
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. Its relatively recent establishment in the large peri-alpine lakes, such as Lake Geneva, combined with its high colonization potential, raises multiple ecological and economic concerns. Ecologically
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of mobility networks, estimation of acceptance of mobility policies preparation of publications for submission to top-tier NLP, AI, or traffic engineering venues contribution to teaching and/or local BSc. /MSc
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uncertainty characterisations for mass balance estimates from satellite altimetry applying the results in comparative studies and combination studies with complementary methods such as satellite gravimetry
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18 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Physics
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computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating
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on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts
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) to ultimately discover novel therapeutic avenues to implement precision medicine in this field. In order to achieve this our group is engaged in multiple projects covering an array of techniques at both in vitro