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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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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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writing Experience with data Good programming skills (Python / javascript / D3 / C++) Tableau Background in or experience creating data visualizations Experience with quantitative research methods (e.g. in
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strong background in software development (Python, C++) and microscope control. • Experience FPGA programming is a beneficial. • Training and supervision will be provided throughout the project, but
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in Python Strong ability to work in teams Perseverance and ability to get things done A high motivation to excel in your work Desirable qualifications are Knowledge of process mining Experience with
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of bioanalytical chemistry • Expertise on data analysis with R or Python tools. Experience in processing of targeted and untargeted mass spectrometry datasets • Demonstrated research competence and initiative
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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