36 programming-"Multiple"-"Washington-University-in-St"-"Embry-Riddle-Aeronautical-University"-"Prof" positions in Netherlands
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generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab, which has multiple test machines with GPUs and AI
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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responsibilities will be: ensuring the successful execution of all technical activities required to meet the project objectives; managing the project’s financial performance in line with the declared cost plan and
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solutions. You are eager to learn new technologies and programming languages. You want to contribute to solving societal challenges in an interdisciplinary context and are not afraid to be idealistic. You
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across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets. The candidate
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publications), and or other textual data Knowledge of, or strong interest in AI, digital technologies, and their applications Proficiency in programming languages (e.g., Python, R) and data analysis Ability
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, overseeing the alignment of technology development activities across multiple technical domains with ESA technology programmes and R&D strategy; Contributing to the development of R&D plans, roadmaps
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organisational sensitivity the ability to adapt and learn quickly ability to take initiative and work independently ability to work effectively under stress and strict deadlines with multiple projects running
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combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid
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). This includes identifying new factors that drive disease progression. The primary focus will be on using state-of-the-art genetic programming (in particular: GP-GOMEA) for small, explainable expression discovery