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researcher will support the project by developing a landslide hazard model that incorporates urbanisation dynamics, using the Python-based LandslideProbability tool from the Landlab library. This position is
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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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, civil engineering, mobility management, or related disciplines. Good knowledge of software development, especially in data analysis in Python (e.g., Pandas, NumPy), visualisation (e.g., Matplotlib, Plotly
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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
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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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take on administrative tasks in research, teaching and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent
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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
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Methodological skills: Python, Fortran, C, C++ High performance computing Good didactic skills High written and oral expression skills Computer user skills Excellent command of English Ability to work in a team We
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the laboratory Experience in the most commonly employed techniques in the laboratory (see "Your future tasks" section) Programming skills in python and R with experience in statistical data analysis
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and students in the laboratory Experience in the most commonly employed techniques in the laboratory (see "Your future tasks" section) Programming skills in python and R with experience in statistical