15 high-performance-quantum-computing "https:" Postdoctoral positions at University of Lund
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equality and diversity as a strength and an asset. Subject description The subject is correlations in quantum information theory with particular focus on how and to what extent classical models can explain
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of the protonation states is a prerequisite for mechanistic understanding, computational chemistry methods are crucial for modelling the reaction trajectory. We have previously used quantum mechanics-molecular
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research is a strong merit. Experience with High Performance Computing, in particular on GPU clusters, is a merit. The assessment of the applicants will primarily be based on their research qualifications
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control for high-dimensional data. Application to individually optimized immunotherapy for cancer will also be considered. The grant covers two postdocs and three PhD students with complementing competences
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the assessment criteria: A good ability to develop and conduct high quality research. Documented experience within theoretical or computational work in soft matter and/or biophysics, ideally on (bio)polymer
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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, computer science, medical physics or other field relevant for the project. The PhD degree must be completed no later than at time the employment decision is made. The ability to develop and perform high-quality
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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity