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. Proficiency in English, both written and spoken, with the ability to communicate complex ideas clearly. Experience with statistical programming (e.g., Stata, R). Ability to work collaboratively in a
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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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be considered if combined with advanced coursework in cell and molecular biology and genetics. Experience working in a Unix/Linux environment, as well as documented experience in R or Python, is
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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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, sociological...) to measuring beliefs, attitudes, and their relationship with shaping (online) behavior is desirable. Familiarity with data analysis in R or Python is required. Experience in study handling
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tools for end-to-end processing of next-generation sequencing data, from raw data to variant discovery (e.g., GATK pipeline). Experience with programming languages (e.g. bash, Python, and R). Experience
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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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supervised by Professor Amir R. Nejad and your immediate Line Manager is Head of the Department. Duties of the position Development of integrated condition monitoring system from contact less sensor data
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mechanisms and multimodal data integration basic/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills
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-ray crystallography, cryoEM) and/or analytical chemistry (e.g., mass spectrometry) Programming skills (e.g., in R or python) Ability to work independently, take initiative, and collaborate within