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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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characterization. Experience performing physical‑chemical analyses and electrochemical measurements. Experience in manufacturing and processing polymer films from a variety of polymer sources. Department/Program
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
/document/d/1C6tjLGrh45_k3EwcixMTrHMa_tB5LmWjjY1-GoE93rk/edit?tab=t.0 REQUIRED: A PhD in neuroscience, physics, applied mathematics, computer science, or a related field; excellent communication and teamwork
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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process¿optimisation algorithms toward autonomous operation and
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criteria: 1. A PhD in Engineering or similar discipline 2. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive
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of computational biotechnology and modelling/simulation of bioreactor under aerobic and/or anaerobic treatment of biomass. Candidates should hold a PhD degree with professional experience in biotechnology, process
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qualities You have a PhD in a computational field such as Artificial Intelligence, Computer Science or Software Engineering for Artificial Intelligence. You have a strong technical background in
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research study. Skills & Experience: A PhD in a related discipline, such as experimental thermal hydraulics, computational fluid dynamics, mechanical engineering or nuclear engineering. Experience in
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Information Eligibility criteria The candidate has to hold a PhD degree in the field of Chemistry and to have BSc and MSc diploma in Chemistry Selection process analysis of files (CV, diplomas), Interview https
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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process‑optimisation algorithms toward autonomous operation and