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engineering challenge. Key to success will be the development of cost competitive and reliable methods to produce hydrogen via electrolysis of water/steam driven by green electricity. Hydrogen can be used as a
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
publications in simulations of biomolecular systems and MD simulation software. Preferred Qualifications: The candidates should hold a Ph.D. in chemical engineering, chemistry, biochemistry, structural biology
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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emission from the proposed process and the conventional methods will be conducted. This scholarship is funded by the Resources Technology and Critical Minerals Trailblazer (RTCM Trailblazer) . The RTCM
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, Attosecond science , Biological Physics , Biology , Biophysics , Biophysics/Soft Condensed Matter Theory , Biotechnology , Casimir effect , Chemical Engineering , Chemical Physics , Chemistry , Coherent
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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vertical migrations. The aim is to perform research across ocean technology and marine ecology. Responsibilities and qualifications Innovate and develop new platforms, sensors, and software, especially wide
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, the cores of the systems’ reasoning engines typically remain ‘symbolic’ (knowledge-based). These symbolic or neuro-symbolic software systems are of high practical complexity, which makes them difficult
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We are seeking a talented and motivated graduate in biomedical engineering, mechanical engineering, or biophysics to join our multidisciplinary research team as a Research Scientist/Engineer. This is a
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science, along with proven skills in prototyping software using real-time 3D engines and implementing machine learning models. With 50+ researchers and PhD students, the Centre for Sustainable Cyber Security (CS2