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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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, consideration of urban heat island in the generation of future weather files, some experience with computer programming and a record of research publications. Strong communication/interpersonal skills and an
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, optimise, and design experiments using lab-scale bioreactor systems. You will generate the high-quality biological datasets required to train the biological layer of a digital twin, a computational model
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12 Dec 2025 Job Information Organisation/Company University of Bergen Department The Grieg Academy – department of music Research Field Arts » Performing arts Researcher Profile First Stage
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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Application Deadline 10 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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: Develop and apply new machine learning and computer vision methods such as large-language models and vision-language models for high-throughput analysis of video data. For NeuroAI focus: Apply data-driven
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high-resolution mass spectrometry and high-performance liquid chromatography to identify and profile phytochemicals, the translation to nutritional impact remains a challenge. Under the guidance of a
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multidisciplinary team of neuroscientists, engineers, and computational modelers. We especially value candidates who bring energy, curiosity, and a high-bandwidth, team-oriented approach to their work. Basic
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documents into appropriate structures for efficient training, establishing evaluation metrics to validate model performance, and improving the fine-tuning process with additional reinforcement learning steps