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Field
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environment for reactors in serial production for operando studies Operando investigation of catalyst structures using high energy X-ray methods (scattering, spectroscopy, imaging) using in-house- and
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the long-standing and counterintuitive observation of attraction between similarly charged particles in solution. In a series of papers we described the mechanism behind an “electrosolvation force” that can
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Astronomy at Johns Hopkins University (JHU) invites applications for one postdoctoral fellow position to pursue research in time-domain multi-messenger astrophysics with emphasis on data science and AI
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of attraction between similarly charged particles in solution. In a series of papers we described the mechanism behind an “electrosolvation force” that can drive such an attraction (J Chem Phys 2020, Langmuir
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments
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architectures, attention mechanisms, and fine tuning techniques for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and