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Field
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/ROS 2, Linux, Git, and robotic software development. • Hands-on experience integrating robotic software with UAV hardware, cameras, embedded computing platforms (e.g., NVIDIA Jetson), and
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implement a research programme in conjunction with the PI to derive, evaluate and possibly improve upon best-practice AI-supported code development and best-practice pedagogy in code development, towards
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Science: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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• Possess a PhD in Computer Science, Software Engineering, Information Systems, or a related field. • Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks
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(UCL). The successful candidate will join the internationally renowned Biomedical Optics Research Laboratory (BORL) and work within the research programme led by Professor Ilias Tachtsidis, who leads
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, data loggers, basic computer software / programming, electronics and laboratory testing. Applicants are invited to contact Prof. Ben Shao-Yuan Leu at telephone number 3400 8322 or via email at syleu
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. Ability to work independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software, including common bioinformatic/statistical software and
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. Applicants for these positions should have a Ph.D. in experimental particle physics. Experience with state-of-the-art detector systems and with the analysis software of a particle physics experiment are
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 22 hours ago
data analysis, algorithm development, and the use of statistical software and data warehouses, while using pharmaceutical quality submission data. You will also develop an understanding of OPQ business
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media