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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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AgriLife and make a difference in the world! Position Information We are seeking a Postdoctoral Research Associate who will be responsible for developing and leading research on potential biological control
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access to the nation's leading user facilities for high-performance computing and scientific networking. The project will also closely synergize with the QUANT-NET program (https://quantnet.lbl.gov
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with the properties of an exceptionally low excited state in the atomic nucleus of 229Thorium. This state has an estimated excitation energy of only around 8 eV. Only recently has it been possible
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, portable ultrasound, and linked electronic health-record data. Research is conducted in close partnership with cardiovascular clinicians, imaging specialists, biomedical engineers, statisticians, computer
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analysis, data organization and quality control, software testing, visualization of research data, scientific documentation, and general laboratory research support while working collaboratively with a
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https://emploi.cnrs.fr/Offres/CDD/UPR4301-LAELEG-068/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldBiological sciencesEducation LevelPhD or equivalent
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a small, pre-publication, book workshop; and a research fund of $4,000 per year. The program will also provide shared office space, and a laptop computer. Further information can be found at https
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, Skills, and Abilities Excellent written, verbal and computer skills required. Excellent communication and interpersonal skills. Must be able to work independently and/or collaboratively. Excellent critical
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equations. The project is joint between research groups in mathematics and automatic control and the approach is interdisciplinary, combining applied mathematics, transport and system engineering, and data