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Basic data analysis and processing skills Statistical analysis knowledge and expertise MS Excel, MS Access, SQL, SAS Python, web-scraping and NLP Any programming experience is a plus Willingness to learn
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element methods. Knowledge of aluminium alloys Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
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models is a merit. Candidates are expected to have a genuine interest in computer security, and are required to have very good knowledge of programming (such as in C, Java, or Python). Another requirement
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of the following tasks using R/Python/bash scripting, such as genome assembly, SNP calling from re-sequencing data or RNA-seq data, and visualisation of high dimension dataset. Solid understanding of genetic
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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skills (Python preferred) Experience with processing and analysing 3D data Excellent written communication skills An interest in interdisciplinary research and enthusiasm for developing novel methods
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chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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, deposition and transport behaviour. • Wastewater treatment modelling, including aeration energy, sludge production, nutrient removal and AD performance. • MATLAB/Python-based data analysis, multi-source data
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Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. Strong programming skills in at least one of: Python, R, C/C++, or Perl