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entitled “The Dynamics of Pregnancy: Integrating Imaging, wearables, and modelling to uncover Maternal-Placental-Fetal Interactions”. The overall aim of the project is to identify risk markers associated
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phenotype-genotype associations, plus downstream statistical analyses Train, fine-tune, and validate deep learning models on multi-omics and imaging data to predict clinical outcomes (e.g., relapse, therapy
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higher education institution, and developed in association or cooperation with one or more R&D units at the starting date of the fellowship. 2. Work Plan, Tasks to perform, and objectives: This project
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to the Government's salary regulation, in position code 1352. There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no/en for more information). The successful applicant must comply with
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Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01
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that complements and contributes to the overall goals of the associated research project. This fellowship is a twelve-month fellowship (August 1, 2026–July 31, 2027) and carries a stipend of $70,000, research
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congress strategy and execution. Please Note: The following are examples of responsibilities associated with this fellowship and are not limited to the items listed. Specific projects and deliverables may
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
to support activities associated with the Australian Research Council (ARC) Centre of Excellence for Advanced Peptide and Protein Engineering (CAPE) and the Snow Fellowship Program. The Positions
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entity will be NOVA.id.FCT – Association for Innovation and Development of FCT. Fellowship duration: The fellowship will have a duration of six months, with an expected start date of 1 October 2026
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the Lie-Størmer Center. The position is associated with the Center’s work package WP4 – Topology, Algebra, and Geometry for Complex Data Analysis. The Lie-Størmer Center is jointly hosted by UiT