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., ROS/ROS2) and embedded systems. Research publication track record Experience: Demonstrated R&D track record in designing, testing, and refining aerial or bio-inspired platforms. We regret to inform
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to scaling R&D concepts into practical engineering solutions, bridging the gap between research and application. Compile and present detailed technical documentation and progress reports to fulfill
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processes, and leading R&D efforts in material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs
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plasma process equipment. Characterize the influence of magnetic field on plasma flow. Conducts various design experiments to refine processes. Optimize vacuum coating processes, and leading R&D efforts in
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly
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languages such as Python or R. Strong communication (oral and written) and interpersonal skills, and experience working in a large research group is desirable. Fluent in spoken and written English. Ability
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functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments. Strong ability
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conducting social network analysis Familiarity with R as applied in data analysis Proficiency in academic writing Good organizational skills and able to work within tight deadlines Good interpersonal, written
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processing would be an advantage. Proficiency in statistical software (e.g., R, Python, SAS, or Stata). Experience with clinical informatics approaches (e.g., cluster analysis, machine learning, Bayesian
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informatics approaches (e.g., machine learning, Bayesian statistics) and spatial data processing and analysis skills would be of advantage. Expertise in Stata, R, or other analytic tools. Strong communication