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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 15 days ago
approaches LanguagesENGLISHLevelExcellent Internal Application form(s) needed SteA 654 PhD EPID.pdf English (147.39 KB - PDF) Download Additional Information Benefits Modern laboratories, incl. BSL3 State
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and data meet What you contribute Master of Science (or equivalent) in Computer Science, Applied Mathematik, Engineering, Physics, or similar Strong analytical thinking and algorithmic understanding
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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analysis, Rresource allocation, growth and welfare evaluation, Technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer-reviewed
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the
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, environmental economics, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics
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of cybersecurity or data protection Willingness to take on new challenges, strong analytical thinking skills, interest in solution-oriented action Ability to work in a team What we offer Environment and
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analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics