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and regulatory context. Objectives Develop an agent-based modelling and stakeholder analysis toolkit to capture the perspectives, needs, and regulatory constraints of main stakeholders. Design modular
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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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. These passports are envisioned to revolutionize the way products are tracked and evaluated, providing detailed information about their materials, manufacturing processes, and lifecycle. With DPPs, parties
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function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
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techniques (e.g., techniques for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques
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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other technical partners who will work with UAV-based radar systems
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-organization of active particles. Fabricate and characterize light-driven microswimmers. Use advanced optical microscopy and particle tracking to analyze their motion and interactions. Investigate emergent
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metrology, we are dealing with layered media that potentially contain many scattering objects spread out over multiple layers. In the computational Electromagnetics research group (the EMPMC lab), we have
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became available for patients with specific SOD1 gene mutations (<1% of all ALS patients). The main objective of this PhD project is to develop gene-targeted therapies for newly identified ALS-associated