29 programming-"Multiple"-"U"-"Prof"-"O.P" "U.S" Postdoctoral positions at Technical University of Denmark
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
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demonstrated our technology for week-long culture of primary human hepatocytes into functional liver tissues. This foundation will give you a head start on refining each of the multiple underlying techniques in
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
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of this postdoc position is to develop and employ multiple in-situ spectroscopic techniques, including, but not limited to, surface-enhanced IR and Raman, to investigate the reaction intermediates
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Job Description Are you eager to contribute to an ambitious, high-impact project advancing sustainability through remanufacturing in a circular economy context? DTU is recruiting for multiple
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a landmark database on
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit