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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor
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://radningarkerfi.orri.is/?s=44538 Requirements Skills/Qualifications Master's degree in biochemistry, chemistry, molecular biology, or related fields Excellent computer or data analysis skills Experience with data analysis
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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applicants who have a background or strong interest in Computer Science, interactive media, software engineering, 3D modelling/animation, VR/AR, human–computer interaction or related digital-tech fields
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning
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surveys, interviews, and workshops. Produce publishable contributions at the intersection of AI, Human-Computer Interaction, and Digital Health, with targeted venues including AAAI, ACL, NeurIPS, ICML, ACM
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and quality issues in real-time. Supporting Digital Twins: Play a crucial role in developing the next generation of computer platforms that support the prevention, diagnosis, and management of endocrine
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5 Dec 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Sound engineering Researcher Profile First
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
gained as an undergraduate); strong quantitative background and computer skills including programming experience; excellent academic record; and ability to work independently. PREFERRED: Research assistant