49 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in Worldwide
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subject line titled “Position you apply for + Field + Your name” to college@cityu-dg.edu.cn For more information, please visit the University website below: https://www.cityu-dg.edu.cn/en/academic-positions
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Biotechnology (https://www.sciencedirect.com/science/article/abs/pii/S0958166923000770?via%3Dihub ). Your responsibilities: You will develop and investigate fermentation processes with heavily reduced CO2
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to promoting interdisciplinary learning in a restless search for innovative solutions to humanity’s major challenges.The University boasts cutting-edge research facilities tailored to meet the needs of our
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the interdisciplinary mindset, critical thinking and innovation ability of students by providing them with diversified learning experiences; A high level of proficiency in spoken and written English; Be passionate in
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and workflows, incorporating AI/ML approaches where appropriate. Apply machine learning and advanced analytics to variant prioritization, disease association, and multi-omics data integration. Curate
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with a leading external pharma company party, are seeking a
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
space where you define the technical roadmap for computer vision and medical imaging breakthroughs. We are looking for a software engineer who is dissatisfied with the status quo and possesses
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water matrices and case studies, while the AI4Science PhD will develop machine‑learning models that learn from and build upon these pNTA results. The successful candidate will be supervised by Prof. Dr
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
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artificial intelligence, machine learning, and the life sciences to shape the future of data-driven biology and biomedicine. We are seeking visionary researchers whose work pushes the boundaries of AI-enabled