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Field
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in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship programme: LEAD AI is the University of Bergen's career and
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commonly used programming languages in the field (Python, MATLAB, IDL, Fortran, etc). Prior experience working in the field or other high stress environments. Outgoing and eager to work in a team setting
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programming (e.g., Python, Matlab, Fortran) is a requirement. Experience in statistical analysis of ocean/climate data (model output or observations) is an advantage. Experience from numerical modelling is an
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to the application deadline. It is a condition of employment that the master's degree has been awarded. A good understanding of ocean dynamics is a requirement. Experience in scientific programming (e.g., Python
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qualifications Crispr Crispr / siRNA screens Proficiency in programming (e.g., Python, R) Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C) Familiarity with
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with designing experimental studies and analysing quantitative data. Proficiency in either R or Python. Favourable qualifications (not requirements, but give applicants an advantage): Relevant
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. Desired qualifications: The following is a list of skills that are desired, but not required, for the position. Experience with Python and/or Fortran is advantageous. Advanced knowledge of quantitative
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with the North Sea or South Atlantic salt basins is an advantage. Experience of programming (Python, Matlab, Fortran) is an advantage. Applicants must be able to work independently and in a structured
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after the start of the research project leading to the Ph.D. degree. Fluent oral and written communication skills in English Programming skills in a high-level language such as R or Python are essential
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modelling. Applicants must have good skills in programming (e.g. Python, R, Java Script) Experience (for example a master project or internship) working with snow or the cryosphere is a requirement