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will computationally explore catalyst materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models
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materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models to study reaction kinetics and improve catalyst
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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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to identify risk factors for prosthetic joint infection (PJI), assess the efficacy of antibiotic treatment against biofilms formed on implant-relevant materials, and refine prophylactic antibiotic protocols
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materials and evaluate anti-infective strategies relevant to clinical practice. Training and mobility: Research secondments at SHIELD partner institutions: Heraeus Medical GmbH (Germany) AO Research Institute
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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: margarita.trobos@biomaterials.gu.se Some background material about host institution & research group can be found here: Host institution: https://www.gu.se/en/clinical-sciences/about-us/research-areas-at
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for candidates with: an interest in developing Machine Learning methods and models, ability to communicate technical material effectively in oral and written form (English), very good study results, good working
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will involve the following aspects: Develop research ideas and analyses based on the project's overall theme, focus and empirical material. Carry out an extensive ethnographic fieldwork and conduct
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theme, focus and empirical material. Carry out an extensive ethnographic fieldwork and conduct interviews. Participate in regularly scheduled project meetings. Collaborate closely with the research leader