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and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon sequencing or draft genome sequence analysis, is highly desirable. Project title: Gut microbiome and
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era
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of powerful computing tools, and innovation in quantitative and qualitative research methods are opening a new frontier for social scientists to explore bold, inventive research questions. In this era
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innovation with clinical relevance and real-world impact. Postdoctoral Researcher Explainable AI and Foundation Models for CT Imaging Our goal: To develop and validate novel AI methods that enhance
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Requirements: Preferably Bachelor’s Degree In Computer Engineering, Computer Science, Electronics Engineering Or Equivalent. Good R&D experience in multimodal large language models Independent, highly analytical
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Master’s degree in a medical, health-related, life, computer or data sciences or research methods related subject along with excellent (or capability to upskill) computing and programming skills in multiple
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. Government defensive missions. Our team provides technical guidance in capability and capacity development for Security Operations Centers (SOCs), National Cyber Centers, and Computer Security Incident
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. Government defensive missions. Our team provides technical guidance in capability and capacity development for Security Operations Centers (SOCs), National Cyber Centers, and Computer Security Incident
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., 2024). In a wider context, crack detection has received a lot of attention and, since some preliminary attempts such as DeepCrack (Liu et al., 2019), numerous methods using deep learning have been
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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and