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qualifications (nice to have) Proficiency in statistical analysis software (e.g., R, Python) Experience with AI tools for data analysis Experience presenting research findings at conferences or seminars Previous
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of reference data through manual interpretation and self-developed software tools, and the statistical analysis of the data collected. The position moreover includes an active collaboration within
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Strong quantitative methods and statistics skills and proficiency with Stata or R Strong spoken and written English; fluency in Hindi desirable (basic knowledge of Telugu/Marathi an added advantage
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experience in forest inventory metrics, and statistical analysis, including predictive modeling techniques. Ability to conduct fieldwork in forested environments, including operating handheld equipment
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of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory