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staff with excellent interdisciplinary knowledge and specialized, state-of-the-art expertise in software engineering, computer visualization, and data science. As a faculty member, the applicant is
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or Full Professor with an MD, PhD, DVM or equivalent degree. The preferred areas of Virology research include: i) basic and molecular virology, ii) Virus-host interactions and iii) Molecular mechanisms
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has a passion for continuing to push the boundaries of our understanding. Candidates who demonstrate responsibility, initiative, and a strong drive to learn and succeed in a collaborative environment
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positioning of results for partnerships, licensing, or venture creation. Your profile PhD (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, Machine Learning, or a related
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from project steering efforts. Qualifications MINIMUM QUALIFICATIONS: A PhD and/or MD degree in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning
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neuroimaging or behavioral studies, and strong communication skills. Additional expertise in computational neuroscience and data analysis, particularly using machine learning approaches, is highly desirable
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
ecologist working in coastal systems, who applies modern approaches in causal inference, experimental ecology, spatial modelling, and data science, including the use of machine learning to produce rigorous
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Postdoctoral Position (f_m_x) in Environmental Seismology in an interdisciplinary ecohydrological...
(including time series analyses and machine learning) Good programming skills Very good communication and interpersonal skills, team player Very good command of English Experience in writing scientific
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, machine learning, and data-driven modeling methods, physiology, transport, fluid and solid mechanics, systems analysis, circuit prototyping, technology transfer, and biomedical design practices, in
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computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving