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, and lab organisation Programming of experimental tasks and basic data analysis in R, Python, Matlab or similar Contributing to manuscripts for publication Assisting other colleagues in their research
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be adept at analysing hip and knee images to obtain accurate measures of joint shape and radiographic osteoarthritis. They will be expected to be able to use advanced coding methods in Python, R and
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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biostatistics, with opportunities to develop pipelines and custom analyses using languages such as Python, R, and Shell scripting on Linux/Unix high-performance computing (HPC) systems. Job Duties • Manage and
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Technical Skills: Proficiency in relevant programming languages (e.g., python), frameworks (e.g., HuggingFace, PyTorch) is required. At least 2 years of postdoctoral research experience in a similar research
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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the areas of economic theories (macro and microeconomic theories) and methods (mathematics, statistics and econometrics using R, Python and other open-source statistical computer software). About the
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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analysis and visualisation using software such as R, MATLAB, or Python. Recruit and coordinate participants for experimental studies, including scheduling and administering sessions. Assist in preparing
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Python, Java, or JavaScript in the context of data and metadata management and analysis for web-based solutions. They will have strong critical thinking skills and ability to develop innovative solutions