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Field
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developing supply chain solutions using Python, optimisation libraries (e.g., CPLEX, Gurobi), and/or machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). To be successful for Level C, you’ll
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researching and implementing secure, AI-driven information systems and data analytics solutions using Python, R, and other advanced languages, with a strong focus on machine learning frameworks, generative AI
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Thermo Fisher Orbitrap instruments. Possess knowledge of R/Python and experience in web-based, interactive database establishment. For further information please refer to the attached PD. What we offer you
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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business intelligence tools (e.g. Excel, Python, SQL) • Ability to design data solutions that align with standard processes and government regulations in complex, regulated environments Technical & System
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visualisation tools (e.g., Tableau, Power BI), and programming languages such as Python or R, with experience in data analysis and solution design. Exceptional ability to analyse and model complex business
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and subsequent relevant experience. Experience with infrastructure-as-code (IaC) tools (e.g. Terraform, CloudFormation). Proficiency in scripting and/or programming languages (e.g., Python, Bash
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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on optimisation techniques and differential equation discretisation schemes will be developed for solving the developed mathematical models. Computer codes in Python/Matlab/R implementing these models and numerical