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. The successful candidates will be joining the Photon Harvesting in Plants and Biomolecules group led by Prof. Dr. Nicoletta Liguori. Our group combines state-of-the-art methods in experimental ultrafast
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, a key aspect in a globalized world, with numerous international collaboration agreements with more than 200 universities of recognized prestige for the training of students and specialization
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collaborating with biologists in the laboratory to develop existing and new imaging methods, etc. Both positions offer a competitive salary commensurate with the applicant's experience, and benefits can be
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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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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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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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explore their predictive potential for human toxicity assessment. This project fits overall within a larger overarching goal in our group of developing methods to relate genome to phenome across the tree
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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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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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Tasks and responsibilities: The successful candidate will combine classical electrochemical methods with in situ characterisation techniques such as infrared and Raman spectroscopy and synchrotron-based