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-focused nanofabrication, advanced materials science, and quantum electronics. With access to DTU Nanolab's state-of-the-art cleanroom facilities, you will establish yourself at the forefront of quantum
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questions such as: How many archaic humans contributed to our genomes? How many times did we encounter them and how long did we coexist? When did they go extinct? How do their genes affect us today? Are there
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the Universities (PhD order) . Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with
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observational data Sample analysis in the laboratory using state-of-art molecular microbiology techniques and fish health and welfare analysis Sequencing data analysis (bioinformatics) Scientific dissemination
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of the last 36 months in the country to which they apply. Please keep this rule in mind as you submit your applications. Responsibilities You will be based at The Technical University of Denmark working with
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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and operation of plasma devices—such as tokamaks and linear plasma systems—is also essential. In this role, you will lead plasma heating experimental research at DTU using RF and microwave technologies
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, the CAPeX approach to finding new electrocatalytic materials for energy conversion reactions uses state-of-the-art machine learning techniques, but experimental feedback is needed to improve the models and
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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal