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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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experience with statistical analysis and programming (Bash, R, MATLAB, Python or similar) is required. Excellent communication and collaborative skills (team player) is required. Excellent English scientific
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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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. 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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background in programming (ex. Python/Julia/Matlab). Excellent written and oral English. The appointment is to be made in accordance with Regulations for the Universities and Colleges Act (university and
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-based computational homogenization. Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting experimental work
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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
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Science, Atmospheric Science, Environmental Science, or related fields · Good knowledge and skills in statistics and programming (e.g. R or Python) is required · Experience with data analysis related