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implementation research program aimed at bridging evidence from the Umeå HIT studies into scalable real-world practice in both digital and community settings. Previous work within the Umeå HIT project has
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in teaching, mainly in our international MSc-programme in Logistics and SCM, by supervising master student thesis writing and taking part in PhD-student supervision. Qualification requirements
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predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will
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agreements. The appointed researcher will receive full support from the PI to develop their own research profile, write grant applications, and follow an individual development plan crafted together