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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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Spending Accounts • Various voluntary benefits and discounts • Employee Assistance Program • Wellbeing Program Original Posting Date: April 6, 2026 Posting Close Date: April 19, 2026 Job Requisition Number
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-generation sequencing, ELISA, and related analytical methods; and apply computational skills in collaboration with cross-functional teams, including efforts in microfluidics and high-throughput scaling and
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the program to different populations and technologies. The primary project management roles will involve working with external vendors to develop a reactive native app, customized AI chatbot, and other updates
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. Your competences You have academic qualifications at PhD level. Candidates can have a background in a (bio)medical discipline (incl. medicine or dentistry), medical physics, computer/data science
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program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance
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in English (both verbal and written) and computer skills required. DEPARTMENT SPECIFIC FUNCTIONS: Design and execute independent research projects related to cardiac biology, heart failure, and
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Inflammation.” This program aims to train postdoctoral scientists for collaborative research careers in two inter-related topics: thrombosis and inflammation. There is increasing evidence of a direct
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The Computational Science Division (CPS) at Argonne National Laboratory (near Chicago, USA) is seeking a postdoctoral researcher to enable exascale atomistic simulations of ferroelectric devices
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience