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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
are already working towards an early start of deep-sea mining, there is still an urgent need for research on the associated environmental impacts. In the JPI-Oceans project MiningImpact, the Deep-Sea
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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, for initially up to three years (exten-sion possible), starting preferentially in September 2025 or as soon as possible thereafter. • A gross salary up to E13 TV-L. Salary will be deter-mined in
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the text module in our privacy policy for this purpose. Without these declarations we cannot consider or process your application and will immediately delete any application documents already received after
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
team Background in electronic correlations, magnetic and quantum phenomena Fluency in written and spoken English Ability to write scientific texts Our offer Integration into a vibrant international and
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correlations, magnetic and quantum phenomena Fluency in written and spoken English Ability to write scientific texts Our offer Integration into a vibrant international and multicultural team of scientists
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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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graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly
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-)Statistics, (Bio-)Informatics, Computer Science or related disciplines Strong background in modeling multi-modal data (images, tables, text, etc) Understanding of biases and causal inference Experience with