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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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and interpersonal skills. • Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.
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of epidemiological modelling and data analysis C2 Up-to-date knowledge of epidemiological modelling approaches C3 Knowledge of relevant programming languages for model development, for example Java, R, C++, Julia C4
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
, PAVICS and Python is required ▪ Knowledge of THREDDS and Java would be an asset ▪ A strong commitment to upholding pillars of equity, diversity, and inclusion ▪ Fluency in French and English is an asset
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end users Proficient in programming or scripting languages, including Python, C++ and Java Script Ability to work independently on multiple streams of research and collaboratively across multi
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infectious disease epidemiology Proficiency in R and Python is required; experience with C/C++, or Java is desirable Other Position Details: Start date: As early as August 1, 2025 Initial term: 1 year, with
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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activities of the CSRS (e.g., daily informal meetings over coffee and tea to discuss topics related to religion and society, weekly public lectures of other centre fellows). Fellows do not need to participate
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Optimization models for ATM system. Strong programming skills in Python, Java etc. Good English writing and communication skills for research work. Able to work independently while contributing effectively in