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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 6 days ago
for beta-cell research. For those interested, there is also an option to learn and use in vivo diabetes models. Collaborative and Supportive Environment: You will collaborate closely with experienced
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, plate structures, semantic data models, finite element analysis, and plugin development. The PhD position (full-time) will span 4 years of research and is funded according to standard SNSF regulations
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Digital Business team in this teaching-focused role, where you’ll help shape the next generation of digitally fluent business graduates. You’ll coordinate and deliver undergraduate and postgraduate courses
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MATLAB, Aspen Plus/HYSYS, and/or COMSOL, ANSYS Fluent, or Python. Strong background in heat and mass transfer, reaction engineering, and first-principles modelling (PDEs, reaction kinetics, etc
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Synaptology” until 30.06.2029. Within this project, and in a collaboration with the University Medical Center (UMG) Göttingen, we will investigate forces generated by neuronal model cells during synaptic
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trustworthiness of mathematical models and machine learning tools (e.g., neural networks) in a meaningful way, we need innovative, scalable methodologies that efficiently and accurately capture, represent, and
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to perform CUT&RUN analysis of genes regulated by NRF2 isoforms in selected cell models. That also requires the preparation of DNA library for the NGS sequencing. Another aspect to study during this time is to
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especially crucial in applications such as medical diagnosis, weather forecasting, and aircraft design. To improve the reliability and trustworthiness of mathematical models and machine learning tools (e.g
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this collaborative project, we will develop a comprehensive strategy combining (1) vasculature-on-chip models, (2) in-depth nanobubble characterization, and (3) tailored imaging solutions to advance cancer diagnostics
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modelling of membrane contactors, with the aim of maximising their performance in terms of separation and energy consumption. The project will be carried out at the LRGP (Reactions and Process Engineering