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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
Artificial Intelligence (AI) and network data science algorithms for mining molecular multi-omics and medical data to improve multiple tasks of precision medicine and discover new precision therapeutics
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Knowledge of vertebrate anatomy, with a specific emphasis on dental and postcranial anatomy of small mammals Knowledge of functional diversity metrics and their application in ecological or evolutionary
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4 Aug 2026 Job Information Organisation/Company Christian-Albrechts-Universität zu Kiel Department Evolutionary Ecology and Genetics Research Field Biological sciences » Other Researcher Profile
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
. Missions: With the support of the Gamble and Ouragan teams, the successful candidate will classify stable singularities occurring in robust control equations and design an efficient algorithm to triangulate
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genetic and physiological basis of kleptocnidy in nudibranch mollusks. The Department of Integrative Biology (IB) is a dynamic group of researchers answering important questions in evolutionary, ecological
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analyses of micro-randomized trials and experimental designs for Markov decision processes. The candidate is expected to innovate statistical methods and algorithms, create software implementations, carry
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analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and applications in evolutionary biology and
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field upon hire. Preferred Qualifications Experience in the science of cooperation/prosocial behavior, and/or the evolutionary human sciences. Fluent in Spanish (both written and spoken). Ability
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delimitation, and evolutionary analyses. Prepare manuscripts, datasets, figures, reports, presentations, and grant materials. Maintain research records and reproducible workflows. Assist with preparation
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NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks”. The research will involve collaboration with