38 computational-material-science Postdoctoral positions at Technical University of Denmark
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environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. DAWN postdocs receive support for computing, travel, and
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gold using the dynamic hydrogen bubbling template and test the material for use as an electrochemical sensor. You should expect both theoretical and experimental work and a high degree of collaboration
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flagellates and early eukaryotic evolution. The position is part of a cross-disciplinary project funded by the Human Frontiers Science Program that combines live imaging of swimming and foraging flagellates
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magnetism. Qualified applicants must have PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open-source software
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and automated catch registration
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bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses
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boundaries of technology. Excellent communication skills and the ability to work in a collaborative research environment. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is
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work and deliver! Further requirements and qualifications We require demonstrated expertise in experimental quantum optics and a Ph.D. in physics, quantum information science, or a related field
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materials science. Candidates should have documented skills in atomic-resolution electron microscopy and, preferably, experience with operando electron microscopy experiments, microfabricated devices
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of the life science industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design, automation, and multi-parameter