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(bioinformatics). By applying this approach to the large-scale biological and clinical datasets at our disposal, this advance will pave the way for more precise genetic diagnosis and therapies targeting the right
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that addresses key societal challenges. Our faculty is large enough to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 2 days ago
hotspots) in ocean iron fertilization, with major implications for marine productivity and the global carbon cycle. The project combines large-scale oceanographic campaigns and high-resolution numerical
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should generally be under 40 (born after Feburary 1985), and senior position applicants under 50 (born after Feburary 1975). Age limits may be relaxed for urgently needed specialties or exceptional
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organisation. At VU Amsterdam, you contribute to education, research and service for a better world. And that is valuable. So in return for your efforts, we offer you: a starting salary of EUR 4.412,- (scale
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this is deployed over potentially large scale clusters and when it needs to operate over large amounts of data. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its
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genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to collaborate closely with
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, bestowed to only 311 public institutions nationwide, acknowledges th...e university's significant commitment to service. Sam Houston State University has a small town feel with large scale opportunities
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In this project, the selected candidate will join us in conducting research in statistical learning, developing data-driven methods to learn models of large-scale signals and systems from data