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focuses on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based
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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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that you have a PhD in natural sciences/technology/medicine/mathematics/physics or equivalent, with a focus on machine learning, Excellent oral and written English skills, Publications in machine learning
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Master’s degree (or equivalent) in physics, chemistry, materials science or similar, and shares our passion for developing an emerging technology for practical applications by systematic material development
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master's level degree corresponding to at least 240 higher education credits in a relevant field. Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any
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field. • Msc in Mechanical Eng., Hydraulic/Civil Engineering, Chemical Eng., Physics, Math, Eng., Aeronautics or any corresponding Msc. • Knowledge of fluid mechanics. • Experience with
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, and verifiable by involving users directly in the response validation process and ensuring that every answer is traceable to a clear source and justification. The project will focus on interdisciplinary
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experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset. Personal merits will play an important role in the selection process. Place of work
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2 Sep 2025 Job Information Organisation/Company Linköping University Research Field Engineering » Materials engineering Chemistry » Applied chemistry Physics » Applied physics Researcher Profile
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collaboration with experts in nanoscale photonics/electronics, advanced lasers, nanoscale synthesis, and characterization. Qualification requirements Applicants must have: A PhD within physics, electrical