Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
• Outstanding dissertation • IT skills and outstanding competence in multivariate statistics. • Outstanding competence in the programming language R. • Experience in teaching statistics. • Research
-
• 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
-
: 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