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advanced microscopic imaging and flow cytometry with imaging. It is not necessary to master all of these techniques, as this project will be carried out in cooperation, but there is an opportunity to learn
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required. To learn more about our work, Check out these recent publications on PubMed: PMID: 33657251 PMID: 30681766 PMID: 30004612 PMID: 26608863 In this role, you’ll be based at our Newcastle Upon Tyne
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opportunity to learn more about them. The knowledge gained will be crucial for the development of cell and gene therapies for people with diabetes. The laboratory is located in Poznań at the Institute
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 27 days ago
, · will to work in an international environment which requires good communication skills in the English language both spoken and written, · ability to learn new technologies and to work in a dynamic
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Postdoctoral Researcher to join the group under the LEARN and iCare projects. Job Duties The job duties will be the following: Design and conduct experiments to investigate how environmental chemicals and
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; b. Indexed publications in the field of this call. b) Preferential factors: a. Knowledge in Artificial Intelligence and Machine Learning. Workplan and objectives to be achieved: The BIPD
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Poland ✅ Culture of cooperation – an atmosphere of mutual respect, support, and development ✅ Career development – unique opportunities for learning, publishing in leading journals, and building
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biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential machine learning applications. Position Objective
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Ambition. Our Behaviours shape our work culture: We listen and learn, support one another, respect everyone, trust each other, and are bold. Located in Newcastle upon Tyne and London, we are an on-campus
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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack