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- Institute of Biochemistry and Biophysics Polish Academy of Sciences
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substrate–catalyst–conditions combinations). The resulting experimental dataset on catalyst activity (TON, TOF) and selectivity will be used to develop predictive machine-learning models that enable accurate
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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research centre in Poland.Research conducted at the Institute focuses on issues directly related to health protection and improving the quality of life. The Institute's main mission is to learn
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of biological databases, algorithms and pipelines; experience in working with phylogenetic/ genomic/transcriptomic/systems biology tools will be a bonus; being well organized, eager to learn and ready to
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the project is the development of AI-based pipelines for detecting, segmenting, and classifying lichen communities. Convolutional neural networks (e.g., U-Net, DeepLab) and machine-learning algorithms (e.g
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temporal environmental analyses. The candidate is expected to prove good spoken and written English skills enabling to write scientific publications, present at scientific conferences and to teach classes
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of computation that aim to lower energy consumption for machine-learning and information processing tasks (see, e.g., arXiv:2308.15905 ). Quantum phenomena in information processing: Investigating how genuine
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motivation for scientific work. Stage One learning outcomes (a scale of the evaluation: 0.0 ‒ 6.0 points); participation in a scientific project or an academic conference (a poster or oral presentation) (a
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conductivity in solid state, possibility to learn unique methods of chemical analysis, work in friendly environment, possibility for scientific self-development Eligibility criteria Important: Candidates need
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, SNA, Machine Learning, Sentiment Analysis) with qualitative ones (digital ethnography, narrative analysis). One of the tangible side-effects of the project will be developing research tools for Polish