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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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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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of teleconferences / project meetings / workshops / conferences. In project proposals preparation: monitoring of suitable European R&D&I funding schemes; proposals structuring, commenting; collection of information
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• Outstanding dissertation • IT skills and outstanding competence in multivariate statistics. • Outstanding competence in the programming language R. • Experience in teaching statistics. • Research
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: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
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• Excellent knowledge of quantitative and/or qualitative statistical analysis methods (experience in statistical programs such as SPSS, R, MAXQDA) • Experience in research management and in leading project
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, human-computer interaction, public health, or a related field. Quantitative research skills, including data analysis with SPSS, R, JASP, jamovi or similar software. Experience in planning and conducting
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of statistics, the focus is on applications of SPSS and R. Your future tasks: As a Senior Lecturer, you will be involved in teaching, for example in exercises and practical courses in the Bachelor's
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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