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environment will provide you with unique development opportunities. This project is a part of a larger project which will involve two other postdocs and two PhD students in the coming years, within a Wellcome
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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32 Faculty of Protestant Theology Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2029 Reference no.: 3960 Explore and
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47 Faculty of Psychology Startdate: 05.05.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 04.05.2031 Reference no.: 3824 The Faculty
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world
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the laboratories of Prof Carlo Rinaldi. You will be well supported by the existing joint team, currently consisting of postdocs, bioinformaticians, PhD candidates, and research assistants. The post holder will be
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tools and software. Desirable • Project management qualifications. • Knowledge of data protection principles. Application Process To apply, please upload: • A covering letter/supporting
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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position verification, entanglement on quantum networks and network capacity and noise mitigation. Duties include developing and conducting individual and collaborative research objectives, proposals and sub