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large scale tumor sequencing data. You can read more about the project on our website https://portal.research.lu.se/sv/persons/staaf-johan/. The research team is led by Associate Professor Johan Staaf
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. The research group of turbomachinery and aeroacoustics , consists of three professors, one assistant professor, three researchers and 10 Ph.D. students. Our research scope ranges from investigating new aircraft
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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awarded by KTH and NTU. The successful candidate will be supervised by professor Aristides Gionis (KTH), associate professor Kelly Ke Yiping (NTU), and assistant professor Sebastian Dalleiger (KTH
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you our new Assistant Professor in Occupational Therapy who, together with colleagues
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recruitment help in connection with this advertisement. We look forward to receiving your application! Where to apply Website https://web103.reachmee.com/ext/I005/1015/main?site=7&validator=e5819a4704cd849
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advertising and recruitment help in connection with this advertisement. We look forward to receiving your application! Where to apply Website https://web103.reachmee.com/ext/I005/1015/main?site=7&validator
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should be listed in the CV. Instructions for applications for employment Period of employment The position of Assistant Professor is fixed-term for up to six years and is intended to provide qualifications
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Researcher (R2) Application Deadline 26 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program