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how well reported dynamics of decline in rare plant species align with inferred trajectories of effective population size. Conversely, the project will also address whether habitat and species
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cells Key methods will include: Gaussian Processes (heteroscedastic & multivariate) Operator-valued and deep kernels Active Bayesian experimental design Physics-informed neural networks Closed-loop
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to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify how well reported dynamics of decline in rare plant species align with inferred trajectories
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tracking, accelerometers or sEMG and are constrained by power consumption and limited robustness. MiNI introduces a multimodal approach that integrates electrical (sEMG), mechanical (ultrasound), and
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to details. You care about having a positive impact with your research. are excellent at quantitative reasoning. You have a rigorous statistics training in causal inference, and a strong command of Stata. You
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emission from marine and terrestrial sources, through its chemical transformation in the atmosphere, and finally to its deposition as wet or aerosol particles. You will also use statistical inference methods
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completion) in Physics, Nanoscience, Electrical/Optical Engineering, or related fields, Deep understanding and strong educational track record in condensed matter physics and optics, Familiarity with data
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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages
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cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites shape cancer progression-and where we
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide