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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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employees. More information can be found here . Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods
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neuroscience, particularly in the study of the mechanisms, role and pharmacology of ionotropic glutamate receptors (iGluRs). It is based on the development of a multi-scale approach combining protein engineering
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Chemistry and Chemical Biology. The project will combine the advances in Antibody-drug conjugates (ADCs) with antisense oligonucleotides. ADCs have revolutionized targeted cancer therapy by delivering
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research while contributing to a larger vision. What you'll be doing Conduct PhD-level research within an interdisciplinary project combining chemistry, automation and data-driven experimentation. Design
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these challenges by: Developing predictive workload, lead-time estimation, material planning models to capture the high variability in HMLV environments using hybrid AI (combining machine learning, feature-based
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affiliation with ERIM or Tinbergen Institute depending on personal preference and the specific research topic. Where to apply Website https://www.academictransfer.com/en/jobs/357350/phd-strategy-economics/apply
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techniques in biomedical research experience; or an equivalent combination of education and experience. Desired Qualifications MS or Ph.D. in Biomedical Science (or a related field). Research experience using