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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural
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interactions. We’re Looking for Someone With: Strong expertise in protein structure prediction, molecular modelling, and docking. Proficiency in LINUX, bash scripting, and high-performance computing environments
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics and data analysis (e.g. Linux, R programming) is essential
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skills, 4) familiarity with GNU/Linux environment. A good understanding of the basic concepts of Bioinformatics is not necessary but welcome. The project will consist in developing un-orthodox Neural
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scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data–model comparisons (e.g., Juno, Galileo) is desirable possess a good command of written and spoken English
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. Integration & automation: connect the optimiser to existing simulation pipelines (DFT → TB/Wannier → transport), ensure provenance and reproducibility, and scale runs on Linux/HPC. Benchmarking & ablations: set
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and medium-scale computing environments (Linux, job schedulers, parallel computing). • Familiarity with data analysis, visualization, and handling large scientific datasets. • Ability to run, adapt
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knowledge in bioinformatics and data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of clinical genomics, single cell RNA-sequencing and transcriptomics
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programming (Dash, FLASK, geospatial python package), linux,relational databases/NOSQL Multivariate analysis (PCA, PLS, UMAP, tSNE, DBSCAN) and exploratory spatial data analysis Network and data sciences