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, probability theory, statistics and mathematical finance and an open mind for applications. Excellent command of written and spoken English. Programming skills (e.g. Python, R). Ability to work in teams and high
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Excellent command of written and spoken English IT user skills (experience with Sketch, R and AI-tools is a bonus) Ability to work in a team and strong communication skills What we offer: Work-life balance
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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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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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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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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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personality: A completed Master's degree in Data Science, Physics, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience
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analysis and processing of large analytical-chemical data sets. Experience and knowledge of digital teaching and evaluation strategies for large amounts of data (such as programming languages Python and/or R