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: Prior experience with analysis of observational remote sensing data sets and/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with
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candidate should have prior knowledge of quasi-experimental methods and, preferably, large data sources such as register data. The research fellow must take part in the faculty’s approved PhD program and is
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/or numerical model output related to cloud properties is desirable. Strong computational skills, and ideally experience with commonly used programming languages in the field (Python, MATLAB, IDL
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calculations. The focus of the project is to perform lifetimes measurements of excited states ranging from few picoseconds to several microseconds via recoil distance Doppler shift (RDDS) and fast timing methods
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of the employment period. Experience in experimental and computational mass spectrometry methods is an advantage. Experience in the preparation of bulk and single-cell BCR libraries is an advantage. Molecular biology
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sequencing-based methods for immunological characterization. Fluent oral and written communication skills in English. Preferred selection criteria A strong background in imaging techniques and proteomics
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three years full time, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be
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din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en