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combustion experiments and in particular hydrogen and liquid fuels, image processing, and excellent knowledge of turbulent combustion. Appointment at Research Associate level is dependent on having a PhD
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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. María
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functional cell assays Interest in translational leukemia research and innovative imaging and omics technologies Bioinformatics experience, especially in R Ideally initial experience with image analysis, laser
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lines and cancer tissue samples. Selected candidates will be part of an international team of PhD students and postdocs that works at the forefront of biomedical research. The PhD student will be a member
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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multimodal brain imaging techniques with novel neuromodulation. More specifically, we work to understand the mechanisms of (mal)adaptive plasticity and develop new treatment approaches for different
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into goal-directed behavior. We use state-of-the-art approaches including functional brain imaging, automated behavioral analysis, and computational neuroanatomy. We value a collaborative atmosphere, early
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) offer new avenues to tackle this problem. AI models have demonstrated strong potential in clinically relevant insights from electrical signals such as ECGs, and from cardiac imaging modalities including
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the polyamine metabolism pathway by combining methodologies such as crystallographic fragment screening, imaging of protein complexes, and studies of cellular polyamine metabolism. The goal is to create a
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well as the ability to be innovative and creative challenge the status quo and promote new initiatives see the big picture and take broader considerations into account set challenging goals and work hard to achieve