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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI Demonstrated expertise in current machine learning techniques applied to biological
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learning, computer vision, and natural language processing. You will have the opportunity to boost your career development and training, read more here . Post-docs receive highly competitive salaries and
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, you will develop fundamental machine learning methods and apply them in an interdisciplinary research environment spanning physics, neuroscience and computational science. You will be expected
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at http://www.icgi.no and http://www.domore.no. The position is based in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five
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for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine learning, as well as in digital signal processing and acoustic imaging
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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simulations to simulate structure formation and connecting the simulations to observables. The candidate will also be working with machine learning techniques to develop emulators for the theoretical
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-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
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(Integreat). Integreat collects scientists from statistics and computer science and offers a flourishing machine learning community, including many PhDs and PostDocs. Starting date between August 15th and