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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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expertise in machine learning, computational imaging, computer vision, or signal processing. Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
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circuits contribute to pathological aggression. The postdoc will use functional ultrasound imaging, behavioural assays, physiological recordings, computational modelling, and pathway-selective chemogenetic
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
pursue an interdisciplinary approach, developing novel quantitative MRI acquisition methods, image processing methods and integrated biophysical models. We are seeking a postdoctoral researcher to develop
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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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history, with often significant events such as exhibitions or conservation processes being kept in different systems, or by different organizations. The research topic to be explored is the extent to which
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including
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team collaborating across disciplines. About You You will be an emerging researcher with strong experimental capability and demonstrated expertise in catalyst design, spectroscopy, and process