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pavement design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic empirical pavement design
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working in
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renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance analysis, and contributing to interdisciplinary research on coastal protection, with
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to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and
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for a motivated researcher who wants to solve actual spatial, environmental, and socio-economic problems using modern data, analytical tools, and computing methods. We expect an active approach, a
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, big data analytics, and health campaign formative and evaluation research are preferred. Candidates from diverse backgrounds, including those from groups that are underrepresented in health-related
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focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps
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-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related
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testing and evaluation in critical minerals mine sites. Duke University has established state-of-the art analytical facilities capable to measure a wide range of isotopes and radionuclides, including boron