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- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Silesian University of Technology
- Bydgoszcz University of Science and Technology
- Center for Theoretical Physics PAS
- Institute of Environmental Engineering
- Institute of Physical Chemistry, Polish Academy of Sciences
- Nencki Institute of Experimental Biology PAS
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- Warsaw University of Technology - Centre for Credible AI
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properties through tuning of concentrations and types of viscosity modifiers and superplasticizers, deep learning modeling of parameters of cement composites. The project is realized at the Bydgoszcz
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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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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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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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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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function? Together, we will do our best to better understand the mechanisms underlying lncRNA-chromatin interactions. Where to apply Website https://ibb.edu.pl/en/phd-studies/rekrutacja/ Requirements
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the same isolates as the proteomes)? Are the xenologs and transposons randomly distributed in the genomes? Where to apply Website https://ibb.edu.pl/en/phd-studies/rekrutacja/ Requirements Research
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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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of Warsaw. Laboratory: Laboratory of Technology of Novel Functional Materials Project title: SOLID Li-ION. Novel light-weight lithium conductors to be used as solid electrolytes in Li-ion batteries. https
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learning or related fields; Proven experience in research work on AI models, in particular in the field of explainable AI, synthetic data generation or model testing; Proficiency in programming (preferably