50 econometric-regional-statistic Postdoctoral positions at Technical University of Denmark in Denmark
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of digital chemical production? Then join DTU Chemical Engineering’s digitalization initiative and be part of building the next generation of smart, semantically linked research infrastructure. The job Over
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also be responsible for further developing source attribution models based on metagenomic data. Finally, as part of the capacity building activities in the project, you will contribute to the training
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class of neuroimplants able to deliver light to the target anatomical regions while causing minimal inflammation to the tissue. In this project, you will be tasked with contributing to the development
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datasets. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc) Ability to work both independently and as a part of a team. Excellent communication and writing skills in English
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, the Quantum Physics & Information Technology (QPIT) group is looking for a highly talented postdoctoral researcher to advance our efforts in Quantum Microscopy . The position is part of the Copenhagen Center
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Job Description We invite applications for a 3 year postdoctoral position to study ice sheet dynamics using remote sensing data. The postdoctoral position is a part of The Center for Ice-Sheet and
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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the lab? Join a collaborative post project at DTU Bioengineering focused on the de novo design of Carbohydrate-Active enZymes (CAZymes). About the position The postdoc project is part of a 4-year project at
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CO₂ capture technologies. The announced postdoc position is part of a work package dedicated to algorithms and thermodynamic models, where the primary task is to develop RAND‐based CO2 capture