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Field
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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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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years
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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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inclusive excellence as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term