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an approved doctoral thesis and public defense are eligible for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using
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criteria for the position. Preferred selection criteria Familiar with SPSS, STATA, R, or Python for quantitative analysis Knowledge of NVivo or Atlas.ti for qualitative data analysis Personal characteristics
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) techniques applied to geological materials (e.g., EBSD, FIB-SEM, EDS, STEM imaging) Computational skills (e.g. Matlab, Python) Previous experience, at the PhD level, in one of the following fields: (1
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requirements for admission to the faculty's Doctoral Programme You must have good written and oral English language skills Experience with programming in Python or similar languages
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data
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, biostatistics or similar Experience with handling of large-scale human genotype and registry data (quality control and analysis) Skills in programming and scripting languages (Python/R/Matlab) Fluent oral and
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) for general criteria for the position. Preferred selection criteria Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge of statistics will be an advantage
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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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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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programme may be given consideration. The suitable candidate must have: Strong programming skills (preferably Python or MATLAB) Experience with using satellite remote sensing data (ideally for polar