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of statistics and machine learning models Proficiency in coding using Python Knowledge of biomechanics and computer vision is a plus Experience in the following skills is a plus: (1) biomechanics software (e.g
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external stakeholders (e.g. engineering or environmental consultants) Advanced statistical analysis ability Experience with machine learning or AI Ability to code – e.g. in R or Python Apply Before: 17/10
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development using languages such as JavaScript, Python, or C#, etc.; (c) be familiar with AR/VR development tools (e.g., Unity, ZapWorks) and have experience in developing interactive or immersive content
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Downtown Campus TEACHING QUALIFICATION REQUIREMENTS : Experience Experience in the following area: Python programming; Algorithms; Software design; Applications of computer science in life science Previous
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involved in: Building and maintaining backend services using Python and Django. Developing frontend features and making sure everything integrates smoothly. Working with relational databases like PostgreSQL
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quantitative field, but higher qualifications (Master’s or PhD) is preferred. Excellent knowledge of at least one of the following scripting/programming languages: Python, R, Java, C++, C#.Net, SQL. Proficiency
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using Python, and realize real-time simulation of equipment status, lifetime prediction, and optimal control. Build 3D visualization models, and develop data interfaces and interaction logic based
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highly skilled students and young people skilled in the techniques of data preprocessing, machine learning, and also building and supporting Python services and systems. The position will be remote
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 6 days ago
training. Applicants must hold a relevant Master’s degree (e.g., Microbial Ecology, Bioinformatics) and have strong skills in R and Python, sequencing data analysis, and (not obligatory) laboratory
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software written using Python and DataJoint, but potentially other languages including MATLAB and R. Provide training and support for other members of the lab who are in the process of learning to program