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the adaptability, efficiency, robustness, and scalability of next-generation networks. While deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural language
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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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mitigation purposes struggles to address the dual threat of increasingly frequent droughts and floods, highlighting the urgent need for adaptive Nature-Based Solutions (NBSs). While programmes like Room
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with cell culture, protein expression and purification. Experience with biophysical methods and cryo-EM sample preparation and data collection and processing is highly desired. Strong communication
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determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
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DWI-Leibniz-Institute für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 8 days ago
University. International young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents
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independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as Python is advantageous. Practical
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in research discipline: exact and natural sciences in research field: chemical sciences Vacancies/positions:1 Type of contract: full time Application deadline: December 12, 2025 Estimated date
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the Regulation EU/2016/679 on the protection of natural persons with regard to the processing of personal data. FORTH processes the personal data and relevant supporting documents that applicants have submitted