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English language, both oral and written 5. Applicants should not have been living in the UK for more than 12 months in the last 3 years 6. Programming languages like C++, Fortran, Python etc Additional Information
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datasets Experience with IRB submissions and clinical trial coordination is preferred Proficiency in Python, R, or MATLAB for data analysis, and familiarity with cloud platforms (e.g. AWS, GCP) will be
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knowledge of programming in R and/or Python. You will be self-motivated with proven organisational and time management skills and have the ability to work within multi-disciplinary teams and independently
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | 3 months ago
; Proficiency in Python, including computational libraries such as Tensorflow, PyTorch, and NumPy, and experience with quantum technologies for computational solutions, confirmed by participation in projects
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, processes and new technologies is a plus Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles
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metadata documentation. Preference will be given to candidates proficient in the R or Python programming languages, users of centralised code repositories (e.g., GitHub) and platforms like Hugging Face, and
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science or (applied) machine learning, decision making, and other closely related area. Expertise and experience in computer programming, especially in Python and C++. The path to Adelaide University We
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modeling) or adjacent fields with engineering impact. (4) Fluency in prototyping and software development (e.g., Python, C++, CUDA, or ML frameworks) and interest in open-source collaboration. Position
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software. Experience with MATLAB, C++, or Python. At least 7 years’ relevant experience with modeling of electric motors and electromagnetics. Experience in designing and fabricating electric motors
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python