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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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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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, the School seeks exceptional scientists applying advanced computational methods to address fundamental questions in biology and medicine. Areas of interest include, but are not limited to, AI
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proteins using either phylogenetic, proteomic, genomic, or biochemical methods, depending on the candidate’s strengths. As a PhD student, further investigations with orthogonal methods are expected
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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