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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
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on aging Engage in manuscript writing, grant preparation, and scientific dissemination Actively pursue external funding opportunities Requirements: PhD in Molecular Biology, Bioinformatics, Evolutionary
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people of different talents, experiences, and skills work together to learn from each other and generate new knowledge and methods to create a better quality of life. TRIGGERINK PROJECT The TriggerINK
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degree in economics with a focus on public economics, behavioral economics, labor economics or a related field and have completed your PhD by job start. You have already proven your relevant knowledge and
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and