35 programming-"Brookhaven-Lab" Postdoctoral positions at Technical University of Denmark
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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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to moving the frontiers of science. A good understanding of electromagnetism and magnetotransport. Experience with numerical modelling techniques (ideally Comsol modelling) and programming (e.g. Matlab
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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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Job Description The Quantum and Nanophotonics Section at DTU Electro is seeking a highly motivated postdoc to be a part of a program on ‘Symmetry-guided discovery of topological photonics’, led by
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you are open to working with other colleagues. Qualifications You can work independently, plan and execute complicated and challenging tasks. You are flexible, self-motivated, interested in
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, sequencing, cell cultivation). Plan, perform, and analyse yeast and immunological experiments independently, driving the project forward (e.g., cellular assays, immunoassays, flow cytometry, cell sorting
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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the supervision of bachelor, master, and PhD students. You will plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find
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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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Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and