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is modelling and optimization using molecular dynamics and machine learning. The position is part of a team looking at these fascinating systems from their fundamental properties and making them in
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, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment
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sequencing, genome-wide data integration, statistical modeling, and hypothesis-driven experimental design, preparing them for leadership roles at the interface of molecular biology and data science. YOUR TASKS
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work on molecular dynamics simulations, where molecular interactions are predicted by neural network potentials. These state-of-the-art neural network models promise simulations at unprecedented accuracy
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Plan / Goals to be achieved: Molecular ferro- and piezoelectrics are emerging as low-power, lead-free platforms for sensing, memory, and energy harvesting, yet the lack of predictive links between
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methods, based on diffusion models and flow matching, that can function as data-efficient surrogate models for rarefied gas dynamics, with applications as diverse as photolithography (ASML) and carbon
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processes at the molecular level. This project aims to explore a new approach for the electrochemical characterization of a small number of redoxactive and enzyme molecules that will be pushed toward
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for additional job details https://career.iimcb.gov.pl/ Work Location(s) Number of offers available1Company/InstituteInternational Institute of Molecular and Cell Biology in WarsawCountryPolandCityWarsawPostal
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) position in Medical Cell Biology – Development of Advanced Tissue Models Admission to Doctoral (PhD) Studies in the subject of Medical Cell Biology Dept. of Medical Cell Biology, Disciplinary Domain
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theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built