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Field
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requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave flumes to study entrainment is an
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: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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: The R2L Lab explores how language understanding improves machine learning efficiency and generalization. We are a leader in agentic benchmarks and evaluation; our platforms serve as primary evaluation
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academic journals (audience: research community) About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: Holds a PhD
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Staff Union Non-Union Non-Classified Staff Pay Grade Level Grade Level: 99 Pay Grade Range N/A Status Calendar Year, Full-time, Limited Department Information Department Elec, Computer & Bio Engr Contact
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Principal Investigator and a cell-culture specialist in a friendly, multidisciplinary group spanning optics, electrophysiology, microfabrication and machine learning, collaborating with partners
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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15 Jul 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Department Physics Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions PhD
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machine learning. The successful candidate will develop and apply methods that integrate multimodal molecular and clinical data (genomic, epigenomic, transcriptomic) across serial patient timepoints
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use