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methods to accelerate the discovery and optimization of novel materials, and actively develop large-scale materials models (AI for Science) to transform the R&D process through AI-driven paradigms. In
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computational methods to a wide range of large datasets, such as official statistics, surveys, social media, web-tracking data, news, laws, bibliometric data, historical archives, current data archives
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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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dynamic, uncertain worlds. Multi-Objective & Black-Box Optimization: Real-world problems rarely have a single, simple objective. We research methods to navigate complex trade-offs (e.g., performance vs
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the past four years, including: At least one paper with an Impact Factor (IF) ≥ 10, OR One paper in the Journal of Dental Research (JDR). Type B: One JCR Q1 SCI research paper (IF ≥ 5) as first/co-first or
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programs and genome regulation, combining single-cell genomics, chromatin profiling, and comparative genomics methods in a phylogenetically diverse array of eukaryotes. For more details about the lab, visit
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Biosensors carries out research on the integration of nanotechnology methods, tools and materials into low cost, user friendly and efficient sensors and biosensors. The main objective of Merkoçi group is to
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multimodal models. Research and implement advanced pre-training, fine-tuning, and alignment techniques (e.g., RLHF, DPO, constitutional AI). Explore new methods for controllable generation, creative content
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working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h/week
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Experience: Chemical synthesis by CVD and hydrothermal methods, microscopy and spectroscopic techniques · Personal Competences: We are looking for a highly motivated person, enthusiastic