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with expertise in transportation science, operations research and applied mathematics, and economics. Responsibilities and qualifications As a PhD student, your overall focus will be to advance the state
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science, mathematical modelling, data science, transport behaviour, or related fields? Then this PhD position might be the right for you. Ensuring sustainable mobility in dense urban areas is a big challenge faced by
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consortium. As a formal qualification, you must hold a PhD degree (or equivalent). Other qualifications and competences include: Experience with mathematical modelling Experience with toxicology Experience
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include: Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and mountain glaciers), with proficiency in MATLAB/Python/Fortran, and related software tools
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Job Description Are you interested in materials science and human biology? The TMAT group at DTU Health Tech is offering two postdoctoral positions within new materials and methods for micro-extrusion 3D printing and 3D bioprinting. Topics include: 3D printable soft electronics for bio-hybrid...
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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Job Description Are you passionate about understanding the composition of the footwear we use, while exploring more circular options for design for recycling? At the Technical University of Denmark (DTU), we are offering a fully funded PhD position focused on understanding and mitigating the...
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Job Description Are you interested in biomaterials science and cell biology? The TMAT group at DTU Health Tech is offering PhD positions within 3D bioprinting. Human tissue models based on stem cells provide new means for studying human health and disease in the lab. These systems may ultimately...
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production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical modelling and prediction tools. Fouling
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including