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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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, Flexibility Demonstrate the ability to work effectively in a team Prior experience in mass spectrometry is advantageous, though not required Familiarity with proteomic sample preparation, R scripting, and
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preparation: monitoring of suitable European R&D&I funding schemes; proposals structuring, commenting; collection of information from partners, processing of written inputs and background documents
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evaluation strategies for large amounts of data (such as programming languages Python and/or R) are required to fulfill the tasks. The employment level of 40 hours/week includes an average teaching obligation
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, Chemistry, Computational Biology, Bioinformatics, or a related field. Strong programming skills in Python, R, or similar languages. Experience with applying AI (ideally) to metabolic modeling is desired
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/teaching and learning research Excellent knowledge of quantitative and/or qualitative statistical analysis methods (experience in statistical programs such as SPSS, R, MAXQDA) Experience in research
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, including data analysis with SPSS, R, JASP, jamovi or similar software. Experience in planning and conducting Ecological Momentary Assessment studies. Interest in orienting towards open science principles
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mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge for omic-scale research questions Scientific publishing experience in renowned, subject-relevant peer-reviewed
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of experimental, field-based and computer-assisted methods will be taught. In the area of statistics, the focus is on applications of SPSS and R. Your future tasks: As a Senior Lecturer, you will be involved in
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methods of Computational Communication Science, e.g. computer-assisted text or image analysis, agent-based modeling and simulation, or network analysis. Programming experience in R and/or Python Interest in