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participants, and collect data. The Research Fellow is responsible for data analysis by analyzing experimental data using appropriate statistical tools (e.g., SPSS, R) and interpret findings; prepare materials
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innovation roadmap as a key for IDMxS’ integrated industry-oriented R&D programs and applications. The role is to include strategic leadership in identifying local and global industry needs as
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-state physics, electrochemistry, Materials Science, or similar fields Strong analytical and conceptual abilities Ability to work independently or in a team in the realization of the R&D work Ability to
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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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cognitive development / implementation science Teaching experience is preferred but not necessary Excellent statistical abilities with demonstrated proficiency in statistical language (e.g., Stata, R) Applied
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SPSS, MPlus, R, etc.) and willingness to learn and master new statistical skills independently Others Highly organized and able to work effectively under pressure Able to work independently as
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, and machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python
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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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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