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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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many-body methods for multi-valence-electron atoms, with a focus on transition metals of interest for spin-crossover metal-organic frameworks (MOFs). The applicant will be involved in the development
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of industry engagement or the ability to effectively communicate to relevant stakeholders High level of personal integrity, transparency, and capability. Experience in the use and analysis of isotopes
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the conversion of experimental excel-based soft sensors to industry-ready programmed solutions using C++ and python Support research by performing data analysis tasks Liaise with clients regarding delivery of soft
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systems, including SolidWorks, Pro/Engineer/Creo, LogiKal, and AutoCAD, with the ability to apply these tools effectively to the design, analysis, and optimisation of mechanical and opto-mechanical systems
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of skeletal muscle in Motor Neuron Disease (MND). You will be involved in all aspects of research, from the conduct of experiments, through to the analysis of data, contribution to writing of research
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, biologists, and clinicians. Key responsibilities will include: Research: Develop nanomaterial-based technologies for molecular detection and cell analysis. Integrate biosensing components (e.g., optical
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate