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of immunotherapy and image-guided ablation. You will lead your own studies in this area, including methods development and clinical studies and contribute to the work of the research group as a whole. During your
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develop impactful optical imaging and sensing technologies capable of deciphering the rules of life. Our group seeks to sculpt and exploit the various degrees of freedom of light to create tailored optical
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, proteomics, conditional knockout/knockin mice, in vivo and in vitro disease models, and 3D cell printing. Our studies utilize advanced, non-invasive clinical imaging and functional tests (e.g., OCT, OCT
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication
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. About the role The Kohl lab uses a multidisciplinary strategy, ranging from in vivo calcium imaging and in vivo / ex vivo electrophysiology to behavioural profiling, viral circuit tracing and molecular
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a multidisciplinary strategy, ranging from in vivo calcium imaging and in vivo / ex vivo electrophysiology to behavioural profiling, viral circuit tracing and molecular approaches to investigate
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We are seeking a highly motivated postdoctoral Research Fellow to join our interdisciplinary project on how cryogenic OrbiSIMS, a cutting-edge mass spectrometry imaging technique, interacts with
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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and imaging experiments. The group's research is organized around three main themes: the mechanistic modeling of pattern formation and morphogenesis; the synthesis and decomposition of developmental