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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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inequalities, and [4] developing new methods, in particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also open to applicants interested in
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suitable for part-time employment. Starting date: 20.02.2025 Job description: Are you interested in bridging the gap between mathematical sciences on the one side and natural sciences, engineering and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 12 days ago
particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also open to applicants interested in other topics covered in the Department Social
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
comparisons of health and health inequalities, and [4] developing new methods, in particular longitudinal modelling approaches, methods for causal inference, and techniques leveraging genetic data. We are also
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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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, 3D modeling tools, project management tools Proven experience in space engineering research integrating simulation, lab and flight experimentation An excellent publication record at the time of
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
creative, self-driven, collaborative scholar with a strong quantitative background that can contribute to advancing one or more the three research areas of the group. The selected candidate will be a member
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
control of such systems, taking particularly into account model uncertainties as well as limitations pertaining to acquisition of data, communication, and computation. We apply our methods mainly to human