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- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences
- Wrocław University of Science and Technology
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- Medical University of Gdańsk
- Mossakowski Medical Research Institute, Polish Academy of Sciences
- Nicolaus Copernicus Astronomical Center
- Polish Academy of Sciences Institute of Medical Biology
- University of Applied Sciences in Nowy Sacz (Akademia Nauk Stosowanych w Nowym Sączu)
- University of Gdańsk
- Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology
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international meetings and conferences. Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=23851a5dc… Requirements Research FieldBiological sciences » BiologyEducation
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | about 2 months ago
., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co-pilot, Cursor). Preferred: Experience with legal data analysis, especially tax rulings or court decisions. Specific
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Nauki Polskiej” (https://www.fnp.org.pl/component/fnp_programs/program/first-team-feng/n… ). Principle investigator dr inż. Jakub Bogusławski Title of the project: Two-photon fluorescence lifetime
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rzecz Nauki Polskiej” (https://www.fnp.org.pl/component/fnp_programs/program/first-team-feng/n… ) Principle investigator dr inż. Jakub Bogusławski Title of the project: Two-photon fluorescence lifetime
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related to human health, disease pathogenesis, and development of new therapeutic approaches. This idea emerged from the observation that although the significance of the p53 tumor suppressor protein in
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Mechanistic investigations (e.g., kinetic and spectroscopic studies) to rationalize activity and selectivity trends Standardization, and quality control of experimental datasets Development and validation
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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