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Dr Flavia de Almeida Dias (University of Amsterdam). This position is part of the research project ’Reconstructing 25% of the Universe with New LHC Triggers’, which is funded by the Dutch Research
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for socio-technical systems Proactive, showing initiative and able to propose and critically evaluate your learning process Great teammate with good communication skills, able to work with peers and exchange
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social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support later skill acquisition. This research is located
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Computer Science Familiarity with category theory Excellent written and spoken English Ability to work independently and collaboratively Please note that knowledge of the Dutch language is not required
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background in mathematical derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge
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, and multiphysics coupling, which are difficult to capture in-situ with traditional methods. Typically, imaging is possible in such application, but full mechanical characterization is not. Our vision is
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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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or research experience) in LCA (for the LCA PhD) or MFA (for the MFA PhD) is an important advantage. Applicants without this knowledge should have the motivation to develop it early on in the PhD. Knowledge
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or research experience) in LCA (for the LCA PhD) or MFA (for the MFA PhD) is an important advantage. Applicants without this knowledge should have the motivation to develop it early on in the PhD. Knowledge
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual