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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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Programming experience (Python, MATLAB, or similar) Required people skills: Highly self-organized, structured, and motivated to explore new techniques Strong problem-solving mindset and willingness to tackle
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to accompany the datasets, adhering to established standards. Interacting with researchers to understand data requirements and address specific needs. Developing and applying basic scripts (e.g., in Python
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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields. Strong programming skills in Python. Experience with web scraping (e.g
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) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science
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, or a related field Programming experience (e.g., Matlab, Python) Experience with at least one electrophysiological recording method or related experimental method listed above The ability to design and
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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Python or R Experience using Git for version control and scripting in Bash or PowerShell Proactive, problem-solving attitude and ability to work independently and collaboratively in an interdisciplinary