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. At DTU Sustain, you will work at the forefront of environmental engineering and photochemical technology, developing innovative solutions for the degradation of per- and polyfluoroalkyl substances
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candidate in the Acoustic Technology group at DTU Electro, you will conduct fundamental research in statistical signal processing and machine learning for microphone arrays, addressing real-world challenges
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combining material science and membrane processes, you will develop next-generation upcycling technology for the membrane industry. Moreover, you will be in close collaboration with other PhDs in the UP2MEM
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biology, or analytical workflows. Interest in single-cell analysis, cancer biology, and translational research. Basic level expertise in computational biology (e.g., bioinformatics, machine learning), with
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opportunities to participate in professional and personal development training. Through your work you will gain a unique skill set at the interface between modelling and prototyping of electrode materials
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, electronics, and neuromorphic computing. You will join an international collaboration between DTU, EPFL, and Max Planck, gaining unique opportunities to work at the intersection of materials science, physics
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Job Description Are you passionate about brain-computer interfaces (BCIs), neurorehabilitation, and intelligent assistive technologies? The Department of Health Technology (DTU Health Tech
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Job Description Are you interested in the interrelationship between urban design and human mobility behaviour? Are you keen on using advanced computer science to help create more knowledge on how
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natural sciences, in particular, bioinformatics, microbial ecology or molecular biology (cloning). We expect you to have experience in designing and conducting laboratory experiments and to have good
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. Through inclusion of PESTLE and casual loop diagrams (CLD), non-engineering factors are included in the potential futures. The adoption of SIMPL will ensure that the full value chain of a future use of the