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interact in the Center for Behavioral Brain Sciences (www.cbbs.eu). Collaboration with the Central German site of the German Center for Mental Health Halle-Jena-Magdeburg (www.c-i-r-c.de) is possible
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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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, computer science, etc.) can also be considered. In addition, we are looking for a candidate with the following: A high level of motivation to collaborate at an interdisciplinary interface and for international
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institutions in the fields of biostatistics, epidemiology, meta-research, population health science, public health, and medical informatics. The scientific coursework serves to deepen methodological knowledge
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Munich. In a rapidly changing world we discover breakthrough solutions for better health. Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and
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pension scheme (VBL); very good accessibility by public transport; car parking facilities; state-of-the-art buildings with labs equipped to a high technical standard; a wide range of offers for health
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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to the table – enrolled in one of the following or related fields of study: Data Science, Electrical and Information Engineering, Physics, Aeronautical and Automotive Engineering, Computer Science, Mathematics
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the lab to real-life applications, improving lives. Your work provides the foundation for scientific discoveries with real impact, shaping the future of health. The HPC Gateway project of the German
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI