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. Please note: Applications by e-mail will not be considered for data protection reasons. Make sure to include: A personal statement describing why you are interested in our research and your scientific
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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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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience
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Steinrück), we investigate mechanisms and processes of chemical hydrogen storage using advanced methods (including large-scale research facilities) as well as modern data reduction and data evaluation methods
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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
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with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience
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could work in the future. More information about our application process Please send your application only via our online application tool and with the following documents: Statement of motivation
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a severe disability will be given priority if they are equally qualified. Information on job postings and data protection can be found at www.uni-heidelberg.de/en/job-market .
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 hour ago
SWGO nearby. To support our broad instrumentation and astrophysics programme we are seeking talented post-doctoral researchers to join our team. Potential activities include commissioning and science
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personal data if you send your application over an unencrypted connection.