586 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL"-"UCL" positions at Nature Careers
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
groups and QGG Mentorship and support in developing independent research directions Support for grant writing and professional development a workplace characterised by professionalism, equality and a
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by a thesis committee, participate in scientific and transferable skills courses and profit from career development support. The city of Konstanz is located directly on the border to Switzerland and
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Medical School-affiliated hospitals. Responsibilities: Evaluation of multi-cancer early detection tests and implementation strategies in clinical and population settings Development and testing
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team Assist in the development and optimization of clinical decision support systems (CDSS) Assist in the use of existing data analytics platforms to analyze research objectives Data Analysis & Reporting
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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and
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research across the School of Cancer & Pharmaceutical Sciences (SCPS) and the Faculty of Life Sciences and Medicine (FoLSM). The postholder will also contribute to research training and the development and
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collaborate in the research activities of the institute and contribute to the further development of its research agenda under the direction of Univ.-Prof. Maria Emmanouela Plakogiannaki, PhD. Participate in
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multi-modal sensing for robotic manipulation Contribute to and/or lead the development of research proposals Take the lead in drafting, reviewing, and submitting project deliverables Support and
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students. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per Week Location: Belval Campus Internal Title: Research and development specialist Job Reference
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention