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the development, operation or application of optical spectroscopic instrumentation, such as Raman spectroscopy. Experience with data analysis and scientific programming, for example using Python, MATLAB
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analysis software (Python, Matlab, or R) Fluent in both spoken and written English, corresponding to “C1 Advanced”, (see: https://www.efset.org/cefr ) It is an advantage if you have experience in one or more
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Python, MATLAB or equivalent tools. Familiarity with image/spectral analysis tools such as MATLAB, Python and basic AI tools Willingness to undertake research visits, secondments and training activities
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requirements for admission to the PhD programme Experience implementing and modifying deep learning architectures. Working knowledge of Python and a modern deep learning framework. Strong programming skills in
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ChIP, Cut & Tag, bisulphite sequencing, ATAC seq, RNA seq or similar Experience with next generation sequencing data analysis and work with sensitive data Basic programming skills (R/Python/Unix
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advantage if you have: Experience working with sensitive data in TSD Methodologal knowledge in cell sorting Basic programming skills (R/Python/Unix) Competence in statistics (R/SPSS/Stata) Personal
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, Python, or other relevant programming languages, as evidenced in relevant courses or publication(s) Applicants will be evaluated as a function of the fit between their qualifications and the research area
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candidates must be within numerical methods for ODEs and PDEs. A solid background in both the following fields is required: Numerical analysis for ODEs and PDEs Scientific programming using Python, MATLAB, C
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microscopy systems, Strong background in image analysis or similar scientific data analysis using Python or MATLAB, An interest in working in a multidisciplinary research group. Desired qualifications
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following skills and experience: Proficiency in R, Python, and shell scripting Familiarity with Unix/Linux operating systems. Experience working with the University of Oslo's TSD environment is considered