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Field
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and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial
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health, epidemiology, medicine, pharmacy, natural sciences, psychology, social sciences, statistics, economics, sport sciences, law, communication science or other relevant field (to be obtained not later
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biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data processing and analytical chemical analyses
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development economics, political institutions, conflict and democracy, or economics and culture. These seminars are complemented by courses on research methods and statistical analysis. Individual research
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methods of empirical research. Compulsory module I: Basics in quantitative and qualitative methods Compulsory module II: Statistics and econometrics or Advanced methods in qualitative research Compulsory
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Social Sciences Mathematics, Informatics and Statistics Physics Chemistry and Pharmacy Biology Geosciences Financial support Yes Structured research and supervision Yes Research training / discussion Yes
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including scientific writing, communication and presentation skills, project management, statistical analysis, leadership skills, and many others. This allows our students to acquire transferable skills
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flight data from operators of the ten-seater, twin-engine helicopter with a maximum take-off weight of up to 4,800 kg, together with statistics on maintenance events, provide the data basis
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory