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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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administrative tasks in research, teaching and administration. This is part of your personality: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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Postdoctoral Research Associate ( Job Number: 25001040) Department of Chemistry Grade 7: - £38,249 - £45,413 per annum Fixed Term - Full Time Contract Duration: Seven (7) months Contracted Hours per
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About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant New
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porewaters from our Demonstrator field sites (treated and control plots/catchments), and synthetic solutions with ionic compositions constructed to mimic the envelope of chemistries of UK groundwaters and UK
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C and python, familiarity with
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
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. There are four scientific Divisions - Structural Studies, Protein and Nucleic Acid Chemistry, Cell Biology and Neurobiology. However, scientific collaboration between the different Divisions is extensive