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in model organisms, and the curative gene correction of immunodeficiency patients carrying mutations in the BTK gene. The candidate is expected to participate in experimental design, logistics, sample
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models or GLM‑based analyses. Experience with research on dog behaviour and with carrying out behavioural tests is considered an asset. You must have excellent knowledge of English, both spoken and written
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Infrastructure? No Offer Description Do you want to contribute to groundbreaking and collaborative research on how to design and integrate of technologies into whole systems using MBSE - Model Based Systems
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practical parameterizations of identified distortions that can be used to model and correct for their effects on the data. Finally, the project will develop PSV master curves for Kerguelen and South Georgia
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University Work duties: This postdoctoral position is part of the AFLOW consortium supported by the Swedish Energy Agency and focuses on materials modelling of chemical stability in aqueous organic redox flow
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AI-driven analyses, and patient-oriented research, WHOLE aims to generate new knowledge, diagnostic innovations, and more equitable models of care in close collaboration with patients and healthcare
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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data visualisation, for example work with regression models or GLM‑based analyses. Experience with research on dog behaviour and with carrying out behavioural tests is considered an asset. You must have
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the development, training, and validation of computer vision models is comfortable working in multidisciplinary research environments, where methods are applied to biological or real-world problems Qualifications
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-based methods are particularly well-suited to bridging the molecular and experimental scales and will be central to this effort. The research will be performed in the Theory and Modelling group (https