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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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quantitative interdisciplinary program. Excellent written and oral communication skills in English are required. Demonstrated capacity to integrate forestry and economics concepts, experience writing scientific
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buildings, within a cross-disciplinary environment spanning architectural design, digital technologies and biomaterials science. PhD project summary The PhD student will join our cross-disciplinary research
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We are looking for a PhD candidate fascinated by the response of quick clays that can change from solid to liquid with small environmental perturbations. We want to be able to understand how a
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partners in the project. Reporting results to industry and academic forums, as well as open science platforms. Contract terms The PhD position is fully funded from the start and has a scoped duration of 4
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application! We are looking for a PhD student in Medical Science. Your work assignments As a PhD student, you will participate in the project: Predictive markers for chemotherapy-induced toxicity in childhood
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application! We are looking for a PhD student in Medical Science. Your work assignments The candidate will be part of a research team focused on RNA biology in the context of adaptive immunity and autoimmune
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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We are looking for a highly motivated and skilled PhD student with expertise in computational hydrodynamics and structural analysis, and a genuine interest in conducting research on hydrofoil craft
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We are looking for a PhD candidate fascinated in modelling erosion processes in sensitive clay slopes. The highly sensitive clays, called quick clays, can change from solid to liquid with small