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is focused of molecular inorganic chemistry, and the successful candidate will contribute to our current programme of investigations focused primarily on mechanistic studies of photoredox catalysis
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to collaborate; Very good command of the English language. These skills would be an advantage: Experience with Lagrangian transport models; Expert knowledge of programming, preferably in Python and/or Fortran
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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to plan and manage research and meet strict deadlines 17. Additional language ability beyond English
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or equivalent. 2. Demonstrable experience in either atomistic molecular dynamics simulations or quantum chemistry/density functional theory calculations 3. Demonstrable programming skills 4. Strong
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programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently
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staining) Bioinformatics experience relating to handling large datasets, such as next generation sequencing, and the use of programming languages such as R Attributes and Behaviour Essential Willingness
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
initiatives within the Aalto House of AI. Your experience You have a recent doctoral degree in electrical engineering, control engineering, computer science, applied mathematics or a related field. Programming
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to work at the interface of statistical mechanics, heat transfer engineering, nanoelectronics and advanced materials, within a high-profile European research programme. Key Duties and Responsibilities Take