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or postgraduate degree with focus in cellular and molecular biology, gene editing, human stem cell biology, hematopoiesis and leukemogenesis Experience with gene editing technology, HSC culture, and in vivo models
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Independent problem solving and systematic data-driven experimental design and execution Fluent in English, German is a plus What you can expect A multidisciplinary project with a strong focus on applied science
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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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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 7 days ago
Modelling Dr. Dominik Sidler – Theoretical Modelling Our team in Hamburg is committed to the ab initio description of quantized light–matter interactions in the non-relativistic limit. Our mission is to
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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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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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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months 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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) for the Information Service Engineering department (ISE) in Karlsruhe startingOctober 1, 2025. The ISE department, led by Prof. Dr. Harald Sack, investigates models and methods for efficient semantic indexing
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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
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Carlo, multi-phase field models and similar • Preferably knowledge in welding and additive manufacturing • Preferably knowledge in data-driven methods in materials science • Interest in project management