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Project – Sustainable Atlantic Communities, Ref. EAPA_0019/2022, co-financed by the INTERREG Atlantic Area Programme 2021–2027 through the European Regional Development Fund (ERDF). The following conditions
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-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to develop and apply cutting-edge
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involving the medical school community. Implements and develops computational algorithms, software, and analytical workflows for the analysis of high-throughput, multi-omic datasets (e.g., single-cell RNA
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breakable with advances in computer algorithms. Quantum technologies offer solutions to such problems, enabling processes that are impossible with standard methods. However, even though few examples
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analysis of data from a Laboratory Information Management System. Key responsibilities will include: Core Scientific Contribute to the coding and development of custom data analysis algorithms and modelling
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this, the TUNIC project aims to develop a 3D tumour-on-chip (ToC) model incorporating primary neutrophils, tumour cells, and CD8+ T cells. This model will investigate the direct and indirect killing capacities
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candidate will also be responsible for the development of the radar signal processing chain, including the extraction of relevant information from the received signals and the implementation of algorithms
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record of analysis, interpretation and presentation of –omic related datasets, which can additionally include algorithm, pipeline, or database development. The ideal candidate will have developed a method
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College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and collaborate with academic and industry partners
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, University of Warsaw, Banacha 2, 02-097 Warsaw. Employee benefits: access to professional development, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic