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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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at: www.fz-juelich.de/gp/Careers_Docs Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We
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theory and methods by taking several PhD-level courses (about 36 European credits) in information systems, operations management, econometrics, machine learning, extensive data analytics and qualitative
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to apply Website https://www.academictransfer.com/en/jobs/357270/phd-candidate-in-information-sy… Requirements Specific Requirements Please review the formal admission requirements here . In short, we
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graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Further development of your personal strengths, e.g., via a comprehensive
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initial research to identify experimental opportunities, experimental design, execution of experiments and troubleshooting, collection and analysis of data, and/or communication/presentation of results
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for your project for Masters or PhD research (e.g. thesis, dissertation etc.) about or involving the use of conjoint analysis, choice modelling or a discrete choice experiment (DCE). Applications close 1
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work in epidemiological studies, especially in collecting data through questionnaires; Proven experience in planning and executing data analysis from epidemiological studies; Training in epidemiology