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First Team FENG no. FENG.02.02-IP.05-0045/23 entitled " Development of a two-component hybrid bioink for 3D bioprinting vascularized constructs ", carried out within the First Team programme of
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | 18 days ago
Systems Group. The selected candidate will conduct research focused on the development of physics-inspired algorithms, quantum computing using tensor and neural networks. The position does not include
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university studies in the field of construction, knowledge of software in the field of engineering graphics (e.g. Autocad), structural analysis (e.g. Solids, Robot, Abaqus) and algorithmization of engineering
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of hormone-dependent breast cancers." PI: Dr Barbara Pucelik Project Description: The project aims to develop innovative (nano)hormone chemotherapy for hormone-dependent breast cancers expressing the HER2
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from nanoparticles and MOFs, including both periodic precipitation and chemobrionic systems, as well as in developing multiplexed strategies to control RD processes and create multicomponent
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. Novel chemical and biological entities (NCEs, NBEs) as tool compounds and potential starting points for drug development are obtained by targeted chemical synthesis, X-ray fragment screening, and nanobody
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cancer treatment outcomes This project is funded by the NCN Sonata Bis grant and offers the opportunity to contribute to pioneering research in a field with high clinical relevance. 🛠️ Develop
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is funded by the NCN Sonata Bis grant and offers the opportunity to contribute to pioneering research in a field with high clinical relevance. 🛠️ Develop an unmatched skillset You will gain hands
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communication skills, punctuality, and commitment to work, - demonstrate a willingness to develop and the necessary skills in the field of scientific interests, - is proficient in computer applications (Word
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within a Research Infrastructure? No Offer Description The Assistant Professor will participate in the implementation of a research project focused on developing a microfluidic model of the microbiota-gut