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Field
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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Science-Guided and AI Models; Cir4Fun – 101182081 – Innovative circular solutions for furniture; MaaSAI – 101177368 – Manufacturing as a Service: Technologies for customised, flexible, and decentralised
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and calibrate empirical models with the aim to generate evidence-based policy advice for national and international decision makers in health policy and healthcare management. The team also plays a
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technologies, drug discovery and advanced therapeutics. We have excellent facilities to support our parallel use of pre-clinical cell and in vivo models, alongside human cellular models, which provide
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intestinal homeostasis and disease. These studies involve state-of-the-art culture techniques for intestinal organoids derived from mice and human patients as well as in vivo mouse models. As part of this PhD
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related field. - Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. - Life Cycle Assessment (LCA): experience with, e.g., Brightway2, Activity Browser or SimaPro
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external partners. Topics of particular interest include the novel development and application of machine learning models--such as large language models, multi-modal foundation models, agentic AI, embodied
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presence in Jönköping. Qulification For this position you need to have: a master degree in relevant subject. proficiency in model-based systems engineering (MBSE) directed towards aerospace applications
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PhD/doctoral degree in neurodegeneration research, neuropathology, pathology, etc. extensive experience in tumor histology/biology, also in brain tumors extensive experience in working with mouse models