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Field
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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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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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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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Two PhD positions are available for four-year terms as part of the recently awarded ERC Advanced Grant in the Wouter Roos lab. The main objective of this project is to unravel the molecular
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through non-reciprocal interactions remains unclear. Existing modelling avenues typically make a priori assumptions on the types of interactions between individual cells. Here, our objective is to develop a
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through non-reciprocal interactions remains unclear. Existing modelling avenues typically make a priori assumptions on the types of interactions between individual cells. Here, our objective is to develop a
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Two PhD positions are available for four-year terms as part of the recently awarded ERC Advanced Grant in the Wouter Roos lab. The main objective of this project is to unravel the molecular
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novel explainable AI techniques, to help humans effectively detect and mitigate bias in AI-assisted decisions. The objective of the temporary position is the production of several research articles in
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intervention. - Designing and evaluating socio-technical interventions – Prototyping and testing interventions, such as novel explainable AI techniques, to help humans effectively detect and mitigate bias in AI