35 affective-computing-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions at Technical University of Denmark
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, and system-level integration within a high-impact European research collaboration. Responsibilities Your overall focus will be to design, implement, and experimentally validate robotic manipulation and
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mutiple Postdoc positions in 2026 focussing on nanoparticle catalysis using advanced operando electron microscopy. If you thrive in a collaborative, cutting-edge setting and want to make a global impact, we
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affects both human and animal health. Our group plays a key role as an EU, WHO, and FAO reference laboratory for antimicrobial resistance. We provide scientific advisory services, as well as applied and
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interfaces and cause irreversible degradation. Understanding and mitigating the impact of dynamic operation and impurity-induced cell degradation is therefore critical for ensuring long-term durability and
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of analytical protocols and wet lab experiments investigating microbial metabolism and interactions. Strong writing and communication skills. Publications in high impact journals. Able to work both independently
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state-of-the-art experimental platforms and contribute to the development of novel diagnostic biosensors and cancer-focused nanomaterial platforms with strong potential for clinical impact
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species as a marine mitigation measure for eutrophication. The section is divided into two research groups: "Sustainable Resource Utilization" and "Environmental Impact and Habitats". The section is in two
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. The department strives for excellence. We won several ERC grants as principal investigator during the last two years, and are participating in many more. We transform this our research into societal impact through
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Job Description If you are establishing your career as an independent researcher in drug delivery, nanomedicine, or neuroscience and want to work on a truly unexplored, high-impact concept
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling