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-supervised learning, and few/zero-shot techniques — the student will adapt models to ecological data. Bayesian deep learning and ensemble methods will be explored for trustworthy uncertainty estimation
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: BrainAGE is a machine learning-based biomarker that estimates biological brain age
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modelling in Germany – preparing for contemporary and future risk” (VBD-MODE) consortium, is tasked with enhancing modeling and prediction of VBD emergence and outbreak patterns in Germany, and to estimate
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modelling in Germany – preparing for contemporary and future risk” (VBD-MODE) consortium, is tasked with enhancing modeling and prediction of VBD emergence and outbreak patterns in Germany, and to estimate
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for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice
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will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural
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involve: developing new differential and probabilistic programming techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit
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Muscle Dynamics: Approximate muscles as “cables” with Hill model dynamics within the SOFA framework. Simulate muscle contraction patterns and their interaction with the larva’s environment, including
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, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is