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one year. After positive evaluation, the scholarship will be extended for three more years. Eligibility criteria You hold a master degree (120 ECTS) in statistics, mathematics, physics, engineering, or
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of innovative statistical models for the analysis of large and highly-dimensional biomedical/biological datasets. In this role, you will design novel statistical frameworks, help in the conception of experimental
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, Statistics, Computer Science, Genetics, or equivalent. Proficiency in Python and/or R, with a solid grasp of statistics. Excellent organizational and time management skills, with a flexible mindset for
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including top-level researchers in emotion, relationships, work, and culture, working with cutting edge data collection and statistical methods. ● excellent research facilities, conference/travel budget, and
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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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and goals. You will develop solutions to problems utilizing formal education, statistical knowledge, and in-house tools. You will guide MS/Ph.D. students. You will travel domestically and/or
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also Dutch. You have knowledge of geographic information systems and statistical analysis. You preferably have knowledge of botany and woodland ecology. WHAT WE CAN OFFER YOU We offer a full-time
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doctoral thesis after 4 years Desirable but not required Experience with yeast molecular biology (PCR, transformation, large-scale assays) Knowledge of statistics packages and/or data analysis using R Key
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activity measures, self-reports, questionnaires and peripheral psychophysiological responses (e.g., breathing patterns). Apart from the acquisition and statistical analysis of the data, the PhD student will
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academic and/or professional experience in post processing results, in terms of signal processing and statistical exploitation The applicant shall have academic and/or professional experience in documenting