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near completion) in astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in time-domain astrophysics, supernovae, galaxy evolution
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more information, please contact Asst Prof Shao, Huiling ([email protected] ). We regret to inform that only shortlisted candidates will be
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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engineering ability (e.g., OCaml, Rust, C/C++, Python, or other functional languages) Strong publication record (relative to your career stage) in internationally leading venues (e.g., POPL, PLDI, ICFP, OOPSLA
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conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in python and deep learning libraries (pytorch) Proficiency in git, Docker, python, and SQL Experience in
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near completion) in astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in time-domain astrophysics, supernovae, galaxy evolution
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. Fortran, Python, C++) An interest in working in a larger group, collaborating with industry. The opportunity to build a strong network with contacts at Airbus The opportunity to develop computational tools
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chemistry and a programming background in Python and C++. Preferred: Familiarity with wavefunction-based quantum chemistry. Experience and interest in fundamental studies of chemical reactions, kinetics
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health, health data science, medicine, pharmacy or a related discipline. Experience analysing complex datasets using R, Stata, SAS or Python. Knowledge of epidemiological methods and healthcare data
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data analysis using MATLAB, Python, C/C++, or equivalent tools. Experience: Demonstrated research experience through peer-reviewed publications in relevant fields. Experience in developing and