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Field
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data · Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling · Clear scientific writing and communication, an ability to work both independently and in teams
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, neuroprosthetics or neuromodulators, peripheral nerve surgery, neural interfacing models Track record of disseminating research through impactful publications and presentations (at least 3 first author publications
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skills in economic evaluation and economic modelling, underpinned by publications in quality journals, and exhibitions where relevant to the discipline. Success in obtaining and timely completion
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structural equation modelling Write at least 4 scientific articles as first author Communicate results in various national and international scientific journals and popular science forums Present
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the benefits and risks of hormonal contraceptives. By integrating big data and advanced methods for modeling exposures, we will establish real-world patterns of hormonal contraceptive use and mental disorders
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applied research to support the sustainable management of freshwater ecosystems. We require a quantitative ecologist with skills/experience in statistical and quantitative modelling. The successful
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associated with more reliable structure discovery. The project adopts a unified and assumption-aware perspective on evaluation, emphasizing robustness analysis, sensitivity to modeling choices, and
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of the grain assembly (e.g. frictional bridging, distributed damage). • (O3) Link microscale dissipation to macroscopic Gc by combining micro-tests, in situ tomography, and modeling. • (O4) Improve tensile
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particular, the successful candidate will be involved in the ESA ARRAKIHS satellite mission with the main goal of understanding the impact of dark matter models and baryonic processes in faint substructures
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application of the new methods will be co-designed with the candidate to best match their research interests. As a PhD-candidate at the Department of Earth Science, University of Bergen, you will also be