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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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the Department for Applied Mathematics and Computer Science (DTU Compute). DTU Compute, is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover
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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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this process. To facilitate the removal, we can optimize the surface active chemistry such that the system is more prone to destabilize. When several chemistries are present this becomes very challenging and
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, and sustainable bioengineering, we invite you to apply and help shape a platform that empowers researchers and communities worldwide Skills and Qualifications: A degree in Computer Science, Software
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or biomedical engineering, computer science or a similar degree. The candidate must have the following qualifications: You are motivated by both individual and team accomplishments You thrive on collaboration and
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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