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Field
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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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, 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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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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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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, 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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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
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candidates who are about to graduate are also welcome to apply. In that case they need to have finished their (R)MA programme before the interviews. A special interest in and knowledge of political theory and
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have a strong interest in process-oriented research in plant physiology/plant ecology. Practical experience in field work, statistical data analysis (R), knowledge of German and a driver's licence are
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soil characterization techniques. A strong command of English is indispensable. Skills in R, MATLAB or Python are helpful. The effective exchange within the interdisciplinary collaboration will be