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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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of frictional behavior and advanced constitutive models to describe it. In this project, you will: Experimentally characterize ply-ply and tool-ply friction under a variety of processing conditions using our
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project seeks to turn a problem into an opportunity, by developing digital tools and Life Cycle Assessment (LCA) models to (1) minimize waste and (2) accelerate circularity and sustainable resource use in
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practices. The PhD projects will combine lightweight agricultural robots, manipulators for managing crop competition, and digital twins for modeling the working environment. If selected, your main focus will
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating
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laboratory cells, i.e. battery prototypes. • Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as
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research projects will focus on spectroscopic investigations of ultrafast dynamics in organic molecular semiconductors. As a PhD student in the group, you will use advanced ultrafast spectroscopy techniques
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on the development of new platforms for osteoarthritis research, including advanced in vitro and ex vivo culture models. With these models we strive to reduce and replace animal experiments while working towards
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students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS