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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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(undergraduate research supervisor: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof
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47 Faculty of Psychology Startdate: 01.11.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.10.2031 Reference no.: 4495 Explore and teach
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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projects currently under grant support. Required Qualifications at this Level Education/Training PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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/17/2025 Posting Close Date Qualifications Minimum Education and Experience The ideal candidate should have a PhD in plant molecular biology or genetics. Candidate should also have a record of
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. Qualifications: Minimum of one year post-PhD experience in a research/academic position or industry position working on development of AI-based solutions for heavy industrial machines. Extensive code-base
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH