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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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of solid oxide cell and stack materials Commissioning, modifying, and maintaining testing equipment Developing new mechanical testing methods Preparing samples for mechanical testing, and carrying out post
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conferences, and engaging in teaching activities. As a formal qualification, you must hold a PhD degree (or equivalent) in either electrochemistry, microbiology, fermentation, or environmental engineering, and
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analytical methods across the EU. Responsibilities and qualifications You will be a central part of our laboratory operations, and your task will be focussed on supporting our EURL-PC responsibilities as
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Job Description We offer an exciting postdoc position dedicated to developing methods for detecting performance disparities in foundation models for fetal ultrasound and understanding what causes
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methods such as gas chromatography, Karl-Fischer (for water), titration methods for TAN/CAN, elemental analysis etc. Synthesis and characterization of catalysts. Writing of scientific papers and attending
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productively with both the CAISA research team and external organisations and institutions experience with mixed methods Furthermore, it will be considered an advantage if applicants can document: experience