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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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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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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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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
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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 is a valuable tool to revealing the source of UTLS aerosols, the origin of water masses, and formation processes of cirrus particles. Your key responsibilities include: Preparation, operation, and
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projects that rely on computational modeling and machine learning approaches. The postdoc will help bring these projects to completion, carry out the required validations, and take the lead in preparing
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, business) communication, corporate communications Language skills: very good English skills – fluent in spoken and written English; willing to learn German (if not already a proficient German speaker
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regional climate modelling, good knowledge of programming in Matlab/Python, Fortran/C, Bash, and working in an HPC environment, published scientific papers, and be fluent in written and spoken English. Where