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position in the fields of photoreceptors, molecular biology and neurobiology. The ideal candidate is expected to work both independently and as part of an interactive team. The full-time scholarship is for 1
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interactions, NEUROH-CHANGE develops multifaceted solutions to address these challenges. The initiative supports Luxembourg's sustainable knowledge society by improving health, education, and the environment. As
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group we are experts in light interaction with biological tissue and living organisms. Furthermore, we have a strong tradition of bringing realistic photonic instrumentation into real world scenarios, in
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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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Your position Bacterial infections pose a major threat to human health. However, critical knowledge gaps remain regarding the localization, properties, and host interactions of pathogens within
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digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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modelling frameworks such as TIMES or similar are particularly preferred. The ideal candidate would display a broad understanding of the energy system, of its interactions with wider society, and of energy
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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uses software called Visual Compliance to perform RPS, which involves a review of government lists to ensure that the university is not interacting with a person or entity who is on a restricted, blocked