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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 21 days ago
statistical programming in Stata/R/etc.; excellent oral and written communication skills in English; a commitment to academic integrity and transparency; independent thinking and critical analytical skills
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participation in the related Graduate School training programs. Qualifications The applicants should possess: An excellent or very-good university degree in Eonomics Strong analytical and methodological skills
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general approaches from cognitive science (resource-rational analysis) to investigate in how far LLMs may acquire “causal world models”. The focus of the project is on the latent representations in LLMs
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socio-economic analysis, equipping them with advanced skills in reservoir modelling, machine learning, advanced oxidation processes, and microbial enhanced recovery. Candidates will also develop intuitive
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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | 2 months ago
interest in neuroimaging and functional data analysis, who wishes to gain hands-on experience with diverse neuroscience datasets and modern analytical methods. Qualification criteria: Experience working with
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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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biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we provide The CSBD provides fully
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. The 3RTG program provides a unique opportunity to: • Conduct research at the intersection of infection biology, animal welfare, and digital analytics • Develop and apply innovative technologies
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related field. Strong background in robotics, estimation, control, or machine learning. Strong proficiency in Python and/or C++ and experience with ROS/ROS2. Demonstrated research experience (e.g., Master’s