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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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optimally for future challenges. This PhD position is part of the SecReSy4You MSCA Doctoral Network, which focuses on developing next-generation methods for security and resilience of cyber-physical systems
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research will extend beyond this project. The research topic could include trajectory data-driven research in airspace capacities, as well as predictions and optimization for future aviation scenarios Job
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD
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this project, you will investigate the optimal conditions and underlying mechanisms of Imagery Rescripting, a treatment aimed at alleviating distressing memories. You will begin by examining how
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department At HTSR , interdisciplinary expertise is brought together to aid decision-making on health innovation development, evaluation, optimization, and implementation. Research concentrates on quantitative
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neuroscience. has expertise in molecular and cellular biology. has hands-on experience with advanced (super-resolution) microscopy. is enthusiastic to optimize labeling strategies and quantitative analysis
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, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
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advice, setting up acquisition sessions, and ensuring optimal microscope performance. Your job You play an important role in ensuring our diverse user community has the best possible experience at our
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specialists and set clear priorities to realize projects effectively and on time, building infrastructure that makes complex analyses faster and more efficient. Your team optimizes virtual computing power (GPUs