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Development Fund. The aim of ICCVS has been comprehensive research into development of novel diagnostic and prognostic markers and personalized anti-cancer therapies and vaccines, followed by
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special focus on ancient hominines, extinct mammals, and the evolution of synanthropism. All such studies will largely benefit from this project’s results. Modern mammal-focused isotopic ecology will
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in vitro and in vivo studies will be performed to evaluate the safety and efficacy of the developed (nano)hormone-chemotherapeutics. A key stage of the project will involve the development of a
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stage will involve in vitro and in vivo studies to confirm the safety of the developed (nano)hormonochemotherapeutics. A key element of the project will be the development of a translational organoid
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 1 month ago
Research Infrastructure? No Offer Description Dr. Philipp Sondermann is Joint Group Leader and Head of the Laboratory for Drug Evolution at IMol Polish Academy of Sciences and the Institute of Organic
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Investigator, Dr. habil. Tomasz Kajdanowicz. The scholarship holder's responsibilities will include: Full-stack development using web technologies. Implementation of user interface (frontend) and server-side
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of the Principal Investigator, Dr. habil. Tomasz Kajdanowicz. The scholarship holder's responsibilities will include: Preparing and analysing data for research purposes. Collaborating on the development and testing
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co