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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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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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. Demonstrated experience with UHV instrumentation, particularly low-temperature STM/AFM. Expertise in STS and analysis of local electronic structure. Experience with STM-based measurements of superconducting
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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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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
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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
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, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish