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robotics engineering. To learn more about the School click here We are currently seeking a Postdoctoral Research Associate in AI Enabled Atomic-Scale Materials Characterisation to work within a highly
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Biochemistry & Microbiology Salary Details 63,968 Offer Information The final salary offer may be
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
world. Position Summary This postdoctoral researcher will work under the supervision of Prof. Tianlong Chen in the UNITES Lab. The focus of this position will include, but is not limited to, multimodal learning, AI
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assets include strong programming skills, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and
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of reactive force field molecular simulations, supervised machine learning techniques and understanding of mass spectrometry techniques. The post is available for 3 years from 1 September 2026. If you are still
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impact? We are currently seeking a/an University Assistant postdoctoral 49 Faculty of Social Sciences Startdate: 01.11.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b
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their added value against simpler machine-learning baselines; train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies
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on large-scale public and newly generated datasets. As Postdoctoral Researcher in AI, you will take a leading technical role in developing ARCA. You will explore which model architectures and learning
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demonstrate strong expertise in artificial intelligence, machine learning, and image processing Preferred Qualifications: · Prior postdoctoral or equivalent research experience is preferred as evidenced