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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 16 hours ago
, scikit-image, SimpleITK, etc.), will be given special consideration. Knowledge of machine learning and artificial intelligence techniques is a plus. Previous experience in code parallelization, the use
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European funding Represent the University of Luxembourg in international research forums, fostering collaboration and visibility Mentor PhD students and student assistants working on related topics
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responses. To do this the candidate will develop and refine protocols that integrate simultaneous measurements of behaviour, metabolism and stress hormones. Complementing the parallel PhD project (Position
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and ionomer
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protocols that integrate simultaneous measurements of behaviour, metabolism and stress hormones. Complementing the parallel PhD project (Position One), this position focuses on cod and includes
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interests, you will have the opportunity to work with: High‑throughput functional genomics: pooled CRISPR and base‑editing screens, barcoded overexpression libraries, massively parallel reporter assays
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of metabolic pathways essential for biosynthesis and redox balance. We investigate how p53 integrates metabolic cues by functioning as both a sensor and regulator of cellular metabolism. In parallel, we seek
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of pathophysiological phenotypes, decentralised examinations, and reduced operator dependence. 2) Diagnostics of skeletal muscle diseases In a parallel research track, non‑invasive ultrasound‑based methods are developed