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of influence: You will join the group of University Professor Sarah R Davies, which focuses on Technosciences, Materiality, and Digital Cultures and which studies the digital as material practice in contexts in
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Excellent command of written and spoken English IT user skills: Proficiency in R or a comparable software package What we offer: The employment duration is 3 years. Initially limited to 1.5 years
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knowledge of programming (e.g., Python, R, or MATLAB) Experience of working in tropical cities Experience in systematic literature review is desired Interest and/or experience in urban landslide research
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also desirable. Candidates should hold a very good university degree in Psychology, Biomedical Engineering, or Computer Science. Strong computational and informatics skills are required, i.e., R, Python
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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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related fields Basic knowledge of programming (preferably Python; R or MATLAB also accepted with willingness to switch) Experience in quantitative data analysis Interest and/or experience in landslide
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spoken German/ willingness to learn German Computer skills: MATLAB and/or R desirable You are motivated and self-propelled You are flexible and creative You should be a team player with high social skills
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mass spectrometry is advantageous, though not required • Familiarity with proteomic sample preparation, R scripting, and previous experience as a lab technician or in lab management are all considered a
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need expert knowledge in bioinformatic data analysis. Strong expertise in multi-omics data analysis (using R and Python) and a deep understanding of machine-learning models are must-criteria