1,365 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at Nature Careers
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. B1 Grundstufe (praedoc) Limited until: 30.04.2030 Reference no.: 5315 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and
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Grundstufe (praedoc) Limited until: permanent Reference no.: 4926 Among the many reasons to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500
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for learning and growth, you can shape a career path that is right for you while also enjoying all the benefits and stability of working for a world-class institution. This includes work-life balance with
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no.: 5307 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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computational methods. For Area A: evidence of assay-algorithm co‑design in RNA/CRISPR/single‑cell/spatial/metabolomics. For Area B: experience with foundation models, multimodal learning, clinical NLP, and
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Job description: The University of Vienna is a cosmopolitan hub for almost 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that
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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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interested in implementation science, cancer prevention/control, and community-engaged research. To apply or learn more, please contact: Heather M. Brandt, PhD Director, HPV Cancer Prevention Program Member
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treatment machines, imaging systems, and patient-specific quality assurance, including the collection and processing of treatment-related data. Assists in maintaining physics equipment and organizing
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al., Nature Communications 2014; Martel et al., Journal of Neuroscience 2016). We also described epigenetic modifications and new gene targets of CREB-dependent transcription following learning