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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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, classical ecological theories and methods to mathematically model species interactions networks and communities across spatial scales. As part of the project, the student will extend these methods and make
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for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the programme of study You will then need to provide the following
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review. npj Mater Degrad 8, 72 (2024) Di Pasquale, et al, J. Chem. Theory Comput. , 17, 7, 4477 (2021) J. Diaz et al, Phys. Chem. Chem. Phys.,24, 11992 (2022) The ideal candidate has a Master degree in
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appropriate related discipline; (b) preferably have at least two years of relevant postdoctoral research experience (as supported by evidence of research projects and outputs) with teaching experience in
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theory and computational methods to understand the nature of the confinement mechanism of QCD. Funding duration: 3 years Funding Comment This scholarship covers the full cost of tuition fees and an annual
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, nanofabrication, and computational electromagnetism. Strong coding (Python /MATLAB) and experimental aptitude is desirable.
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matrix mechanics, particularly in chemoresistance. Notably, the biological aspects of chemoresistance and drug efficacy screening will be the responsibility of the lab’s postdoctoral researcher, who will
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PhD level in an appropriate discipline, and you will have sufficient breadth or depth of knowledge in physical acoustics and information theory. You will have knowledge of appropriate research methods
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics