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., the Nature portfolio). Advanced programming skills in Python, R, and Unix/Linux environments. Expert-level ability to develop reproducible analytical pipelines and robust statistical modeling frameworks
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#, Java, Python, Kotlin, and Go, programming in Linux and Windows environments, and the ability to use programming tools in virtual and cloud environments Knowledge of web technologies: ASP.NET, ASP.NET MVC
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modelling and system identification of mechatronic systems You have proven experience in Python You have experience in or understanding of physics-based modelling and data-driven modelling You have experience
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, or a related field; You show a keen interest in molecular biology and protein science; prior experience in these areas is a strong plus; You have experience with programming (e.g., Python) or you are
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experience or interest in denovo genome assembly using PacBio HiFi data Familiar with R, Python or other coding languages Interdisciplinary communication skills and intercultural competence Excellent knowledge
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statistical analysis and machine learning algorithms. Proficiency in programming languages such as Python, R, MATLAB, or similar languages commonly used in scientific computing. Experience with deep learning
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Assist with deployment and support of AI software stacks, containerized research environments, and Python-based computational workflows. Help optimize GPU utilization, data throughput, storage access
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background. • Programming expertise in Python, with experience in PyTorch or TensorFlow. • Familiarity with networking and edge computing (e.g., MEC, IoT, 5G/6G). • Analytical skills for designing and
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PixHawk Autopilot, Arduino boards, Raspberry Pi - or equivalent Experience with ROS/ROS2 Experience with programming languages like Matlab, Python, C++ Familiarity with machine learning and/or deep learning
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statistical analyses using Python, MATLAB (or equivalent statistical software); Contribute to data visualisation and reporting of results; Participate in project meetings and scientific discussions; Prepare