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November 1, 2025, or in according to mutual agreement. The assistant professor position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more
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Job Description We are pioneering true 3D culture of human liver models by high-resolution 3D printing to transform disease modeling and drug development. Join a project combining next-generation 3D printed hydrogel microfluidics and stem cell-derived liver organoids to advance the engineering...
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candidate will have a strong background in physics, geophysics, materials science, computation, engineering, or a related discipline. Documented research experience in one or more of the following areas will
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on the modelling and optimisation of PRO systems using advanced Computational Fluid Dynamics (CFD) and Machine Learning (ML) techniques. This role offers an exciting opportunity to contribute to cutting-edge
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
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within digital innovation. Your work will help students and startups “make the digital real” by transforming ideas into functional prototypes using digital technologies, such as soft computing, embedded
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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Job Description We are now advertising a new position at DTU Physics for the second half period of our project UltraBat - Capturing Ultrafast Electron and Ion Dynamics in Batteries - generously funded for 4 years by EU Horizon RIA with partners in Denmark, Germany, and France. You will be part...
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a