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- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Wrocław University of Science and Technology
- Łukasiewicz Research Network - Krakow Institute of Technology
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- Institute of Human Genetics of the Polish Academy of Sciences
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- International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences
- MARIA CURIE-SKLODOWSKA UNIVERSITY IN LUBLIN
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Infrastructure? No Offer Description The goal of this project is to elucidate the influence of phospholipid bilayers and their models on interactions of biological peptides and related molecules with copper ions
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scientific and technical knowledge as evidenced by publications (if applicable) or successful projects in line with the job description.- Familiar with the latest in AI trends and models for development and
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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for semantic search, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context
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an ecosystem. Our preliminary data suggests that this may be the case. If this hypothesis will be confirmed, it would mean that several independent baselines should be included in the isotope flux models, even
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 2 days ago
genetic engineering. Candidates should be familiar with single-cell and/or spatial RNA-sequencing and mice models to develop multi-omics method for profiling of intraocular tumours. The successful candidate
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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spectra. Validation of machine learning models on experimental Q-OCT signals. Development of neural-network-based methods for improving the resolution of Q-OCT images. Specific Requirements Description