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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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closely with the Department of Mathematics at Aarhus University. In addition, your organic chemistry skills will be instrumental in developing antioxidant artificial cells. These interdisciplinary projects
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at Roskilde University. The Department conducts basic and applied research within mathematics, medical biology, physics, molecular biology, environmental sciences, and chemistry. Bachelor and Master programs
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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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18 Sep 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Sustain Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Denmark Application Deadline 31 Oct 2025 - 23:59 (Europe/Copenhagen) Type of...
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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