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combined with in-situ validation data, including reflectance measurements and ecological surveys. This dataset will form the foundation for accurate training and validation of image classification models
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this position will be responsible for conducting research in the area of verification, testing and exploration of artificial intelligence models, active participation in lab meetings, scientific seminars and
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— an interdisciplinary field spanning information theory, stochastic thermodynamics, and quantum physics — and will explore several research directions: Thermodynamic computing: Developing physics-inspired models
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school or doctoral studies under the former law) in the same disciplines. Readiness to work with animal models (rats) Basic experience in molecular biology techniques is desirable Teamwork skills and
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work using animal models; demonstrates teamwork skills; possesses a high degree of independence and ability to plan work; has proficiency in English. The application should include: a cover letter
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scienceEducation LevelMaster Degree or equivalent Skills/Qualifications 1. Planning and conducting computational experiments on deep learning models for small molecules; 2. Implementing novel training techniques and
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theoretical knowledge of cell or tissue culture protocols, including gene expression analyses (qRT-PCR), Western blot, ELISA assays, and immunofluorescent staining. Authorization to conduct animal model
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in vivo PD models (α-Syn oligomer injection, behavioral testing, MRI) and in vitro studies (primary neuronal cultures, molecular and imaging techniques), we will dissect the role of P2X7R in: oxidative
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Institute of Fundamental Technological Research Polish Academy of Sciences | Poland | about 2 months ago
at the interface between cell biology and quantitative modeling Experience in wet-lab work, particularly in maintaining cell cultures, immunostaining, and microscopy imaging Ability to work in a team
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regulatory RNAs during colonisation of mucus producing colon epithelial cell models (HT29-MTX-E12). • Mapping sRNA-mRNA interactions: The study will predict (IntaRNA, CopraRNA) and validate direct mRNA targets