136 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"U"-"U.S" positions at Technical University of Denmark
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cleanroom processes, lithography, and metal deposition. Experience in magnetotransport measurements. Structured work attitude and ability to plan and carry out sophisticated research activities. Excellent
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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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 this exciting. You should be scientifically curious and
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individuals. The department offers a wide range of courses and programs at bachelor, master and PhD levels across DTU's study programs. The department has 250+ employees with around half of the staff coming
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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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physics, mechanical engineering, or environmental modelling) Experience working with scientific or geospatial data Interest in understanding and working with scientific models written in Fortran Programming
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advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to disseminate
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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