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21 Aug 2025 Job Information Organisation/Company Sveriges lantbruksuniversitet Research Field Biological sciences » Biology Researcher Profile Established Researcher (R3) Country Sweden Application
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Forschungsinstitut für Nutztierbiologie (FBN) | Dummerstorf, Mecklenburg Vorpommern | Germany | 15 days ago
At the Research Institute for Farm Animal Biology (FBN), we strive to advance sustainable livestock farming in a globalized world. Our research focuses on enhancing resource efficiency while addressing both local
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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
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transcriptomics Present findings at conferences and publish in peer-reviewed journals Your qualifications and skills: You hold a Master’s degree (or equivalent) in Bioinformatics, Data Science, Systems Biology or
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them to embark on a doctorate. We are seeking a motivated candidate who is a Bachelors and Masters degree holder in the field of physics, engineering, biology, or related domains. Candidates with
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, this role will apply their expertise in stem cells, epigenetics, development, and cell biology to lead and contribute to cutting-edge research in cancer development and treatment. To be successful you will
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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. Real-World Validation: Deploy and benchmark your algorithms on our autonomous vehicle, mobile robots, and UAV testbeds. You will: Publish in CVPR/ICCV/ECCV, NeurIPS/ICLR, INFOCOM/ISIT and leading IEEE
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms