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writing C++ backend code, improving deployment on large-scale infrastructure, and implementing new features such as time-domain and Virtual Observatory functionality. Collaborate with international teams
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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability
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on machine learning Experience in time-series data analysis Proficient in coding languages, such as C, C++, Fortran, and Python Strong publication record Entry level candidates are welcome to apply The College
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and analytical thinking for research challenges. Flexibility in adjusting research direction as needed. Knowledge of energy storage systems and electric drives Coding experience. Math and optimization
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real-time data analysis and interpretation code. Build a connection between experimental data, analytical solution and Monte Carlo X-ray scattering simulations. In collaboration with ALS Photon Science
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. Practical knowledge of bioinformatics. Skills Essential: C1. Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices
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dynamics, and bond valence. Strong coding skills including object-oriented programming, software engineering practice (version control, unit testing, continuous integration). Preferred language of experience
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(CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a unique opportunity for specialisation and personal
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication
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in the open-source computational fluid dynamics (CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a