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Field
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learning approaches (Roux) to evaluate novel biomarkers for ADRD. Minimum Qualifications PhD in Computer Science, Engineering, Bioinformatics, Biomedical Data Science, or a related field Experience in
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hours in the space allocated to the group in London (fully remote work is not possible). The postholder can expect: Provision of a quiet work space, a computer, access to high-performance computing, a lab
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experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing and integrating
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investigators, colleagues and partners working in an interdisciplinary research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office
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, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers
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of the following courses: - PhD in Informatics, Chemical and Biological Engineering, Biomedical Engineering; - Non-degree course. Requirement for granting the fellowship: The applicants may apply without prior
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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-driven multi-sensory robotic avatars for remote collaborative physical work. The PhD fellowship position is located at the University of Oslo’s Department of Informatics (IFI) and is hosted by the Network
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instrumentation such as flow cytometry and confocal imaging. Prior experience in vaccine studies. Equipment Use of personal computer and proficiency in software and research statistical applications. Working
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. Experience with the use of large datasets. Strong skills in computer programming and computational statistics. Very good oral and written skills in English. Strong academic background documented with