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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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, or layered materials, as well as Python programming (or similar) is a plus. Most importantly, an applicant should be driven by curiosity and should be motivated to work through a difficult long-term (4 years
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Computer Engineering, Engineering Physics, Aerospace Engineering or related areas. Basic knowledge of electromagnetics/RF. MATLAB/Python, RF instrumentation, electromagnetic simulation (CST or HFSS), 3D
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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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Python. Knowledge of machine learning, data analysis, and experimental evaluation methods. Familiarity with cybersecurity concepts, intrusion detection, and network or system security. Ability to work with
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16S rRNA gene sequencing, whole microbial genome sequencing and shotgun metagenomic sequencing Develops ad hoc scripts (bash, R and Python) for data analysis Familiarity with UNIX-based systems
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essential criteria: Hold a 2:1 Degree or above BSc in Computer Science, Cyber-security, AI or related. MSc is desirable for this position. Have significant Python programming experience Have familiarity with
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.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
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scripting (e.g. bash, awk), configuration management (e.g. Puppet, Ansible), scientific packaging frameworks (e.g. Spack, Easybuild) Competence in a high-level programming language (e.g. Python, Golang) and
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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