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. To perform any other duties related to the research program. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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to work on cutting-edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute
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, Material Science or similar Knowledge: Solid state physics, thermodynamics and heat transfer Professional Experience: hands-on experience in optical and electrical methods for thermal transport, experience
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fast-paced research environment and will be responsible for the development of novel research methods, will conduct experiments using in-vitro and in-vivo approaches, will perform project planning, data
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Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts for publication in
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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computer vision and visual generation. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and support to
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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signaling. Familiarity with techniques such as flow cytometry, RNA-seq analysis, or advanced imaging. Familiarity with bacteriology and/or virology methods. Skills: Critical thinking Interpersonal skills