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- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences
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chemistry and accurate machine-learned oligopeptide potentials with applications in structural and evolutionary biology. First, we will develop a new computational tool, denoted as QMLFold. This would allow
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few years have focused on the generation of machine-learning force fields for biological molecules, such as SpookyNet or AI2BMD. These offer the accuracy of quantum-chemical methods with many orders
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the boundaries of bioinformatics in molecular medicine. Requirements on candidates: bioinformatics, machine learning, data science Keywords: Bioinformatics, foundational models, multiomics, single-cell
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, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop new workflows for the discovery and utilization of bioactive molecules derived from
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, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop new workflows for the discovery and utilization of bioactive molecules derived from
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developing new methods. These include machine-learning based approaches to identify deoxyribozyme variants with new phenotypes. University: Faculty of Science, Charles University Group: Edward Curtis Group
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Brno University of Technology, Central European Institute of Technology | Czech | about 2 months ago
-distance-energy data coming from Scanning Probe Microscopy on surfaces relevant for life sciences research and medicine, including curve classification tools based on machine learning, providing both
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learning some basic bioinformatics. They should be fluent in English (written and spoken) with good communication and organisational skills. The successful candidate has to hold a Master's degree in Biology
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in learning some basic bioinformatics. They should be fluent in English (written and spoken) with good communication and organisational skills. The successful candidate has to hold a Master's degree in
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others) in development of molecular databases for machine learning and force field development. Field: Computational Chemistry and Physics, Biophysics University: University of Ostrava Location: Ostrava