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open and diverse organization, the MPG is characterized by a high proportion of international scientists, its decentralized structures and the subject-specific needs of its three scientific sections
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decarbonization, hedging, energy policy and financing issues as well as willingness to familiarize yourself with new topics Excellent command of the English language Initiative and interest in teamwork and openness
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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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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
radiation and lab-based X-ray absorption spectroscopy We have an immediate opening for a postdoctoral fellow and/or PhD student in “Operando hard X-ray spectroscopy group ”, led by Dr. Janis Timoshenko. X-ray
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project led by the MDC/Helmholtz Imaging, GEOMAR, Hereon and FZJ, fully committed to Open Science. We are looking for a PhD student or Postdoc or Research Software Engineer to join our highly vibrant and
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to publications, presentations, and open-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong
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source for these projects is household survey data, particularly the Demographic and Health Surveys. The group is also working on randomized intervention studies in low- and middle-income country settings
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/distributed programming and/or solid UNIX skills Practical experience with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects
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research environment and access to state-of-the-art facilities, with a wide range of opportunities for personal and professional growth. an international, interdisciplinary team that values open
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: A small, international team with open communication and flat hierarchies Specializes in machine learning and data mining for plant genomics Committed to interdisciplinary work combining genetics, data