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surveillance system to harness its potential against infectious diseases in aquaculture. The ERC project objective will use the zebrafish model to 1) Characterize the gill lymphoid tissues and tonsil-like organ
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. Ingunn Wehus (i.k.wehus@astro.uio.no ). The ERC-funded Origins project has the goal of modeling the diffuse sky from 1 micron to 1 GHz, including contributions from the Cosmic Infrared Background (CIB
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an interdisciplinary research consortium that will describe, model and manipulate the physical forces that cancer cells experience during invasion. With this information, we aim to identify the weak spots in cancer
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
experimental investigations and theoretical modelling, with a view to obtain and publish original and innovative results in leading refereed journals, present research at academic seminars and at national and
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doctoral thesis and public defence are eligible for appointment. Demonstrated experience in epidemiological modelling and infectious disease dynamics. Excellent knowledge of programming languages such as R
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vehicles such as lipid nanoparticles (LNPs) • Create experimental protocols for cancerous, healthy human and microbial model cell membranes. • Establish predictive models for peptide-induced transport
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Research Fellow - Transport Modelling Job No.: 688348 Location: 533 St Kilda Road, Melbourne Employment Type: Full-time (negotiable) Duration: 12 month fixed-term appointment Remuneration:$118,974
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model species Rorippa aquatica . The position will also contribute to the preparation of upcoming research grant proposals. All members of the Torii Lab are expected to uphold the highest ethical
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.), or rural health practice. (Desirable) Demonstrated experience working with large datasets, statistical or computational modeling, participatory design, mixed methods, or intervention development
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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