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applications and data portfolio and are expected to cross-train to support service continuity. Technologies may include Java, JSP, C#, ASP.NET, HTML5, CSS, JavaScript, modern frontend frameworks, Python, SQL
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with interdisciplinary teams on Python applications in the physical sciences; and familiarity with Tensorflow, PyTorch, or related ML code and version control workflows (e.g., Git and GitHub/GitLab
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administration. You will present your research at international conferences and in peer-reviewed journals. You develop your IT user skills: especially Microsoft Office, Origin, Python or Labtalk. You communicate
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have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge of python and R programming. You will also have demonstrable experience of software development
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multi-omics, and single-cell immune repertoire analysis. You will have demonstrable experience of applying machine learning/AI methods as well as experience and knowledge of python and R programming. You
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either in C++ or Python 2 + years experience in Robotics Research Job Description: The FLARE Networked & Collaborative Systems Area Engineer will contribute to AI/ML implementation and autonomous vehicle
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of medium-resolution satellite remote sensing data such as Landsat and Sentinel-2. Very good programming skills (e.g. Python, JavaScript). Very good oral and written proficiency in English. Other merits
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or education deemed equivalent; experience in the field Excellent technical knowledge of systems programming, and strong programming ability in several of: Python, C/C++, Rust, OCaml, or other functional
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, or Python. - Ability to use PowerLab and signal amplifiers. Additional comments For any additional information, you can contact Isabelle Vivodtzev – [email protected] , Website
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at least one scripting/programming language (Python preferred) - Familiarity with version control (Git/GitHub) - Strong written communication skills, with demonstrated ability to document technical