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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
research team. The ideal candidate should have: a PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university, prior
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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
-36 AMS samples # Supervision of laboratories for cosmogenic radionuclides # Dedicated research in geological applications # Further development of new isotope separation methods for AMS applications
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, you will develop efficient machine-learning models for fast, automated data processing and decision support, e.g. regarding the identification of adaptation needs. # You are expected to publish in peer
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VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational technology (specifically, multimodal modelling) focusing on the complete spectrum of human communication channels. It aims to...
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team events, well-structured onboarding with friendly colleagues Extensive free continuing education and training opportunities up to and including university studies Discounts on various offerings
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the international visibility of the research group. Contribution to methodological and technical innovation: You will develop and test novel technical approaches, optimize existing methods, and actively foster
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evaluate the strengths and limitations of eDNA versus acoustic monitoring (and other approaches), identifying optimal applications for each context. Best‑practice development: Co‑design guidelines and