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challenges. Supervisor information: https://experts.exeter.ac.uk/41651-tarje-nissenmeyer https://experts.exeter.ac.uk/41625-george-datseris Ready to bridge mathematical sciences with complex ecosystems and
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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and international conferences. Preparing scientific publications and project reports. Your Profile Master’s degree in physics, soft matter, applied mathematics, chemistry, or a related field. Experience
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/mathematical-natural sciences field or have otherwise acquired knowledge to be able to benefit from third-cycle studies in the subject. Meriting competencies and experience In addition to the qualifications
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for this project should note that a Master’s degree in Economics, Statistics, Mathematics or Computer Science is essential. Financing the Circular Economy Transition. The transition towards a circular economy (CE
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
our website: https://www.list.lu/ How will you contribute? You will contribute to the ENERGY-RESILIENT-UA project, which aims to support vulnerable communities in Ukraine through resilient, low-carbon
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record. Mathematical skills in linear algebra, calculus, and statistics for algorithm development and data analysis Evidence of research output including high quality publications, conference contributions
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Campus, in the middle of the largest chemical site of the Netherlands. As such, we are very well connected to industry. More information you can find on https://www.maastrichtuniversity.nl/research
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) (departments of Mathematics and Computer Science as well as Biology, Chemistry and Pharmacy) and the Max Planck Institute for Molecular Genetics (MPIMG). Courses, seminars and joint research work foster the
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; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal with high-dimensional, often noisy, data sets; and mathematical modelling