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Position Details Position Information Announcement Number STAFF - VA - 24336 For questions regarding this position, please contact: Eric Sproles (406) 994-6917 eric.sproles@montana.edu
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FieldMathematicsYears of Research Experience1 - 4 Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLundGeofield Contact City Lund Website https
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Position overview Position title: Moore Postdoctoral Fellow Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales (https
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of the certificate is mandatory for signing the contract. More information can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . ELIGIBILITY OF CANDIDATES: Without prejudice to the applicable
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 9 days ago
the certificate to sign the contract. More information is available on http://www.dges.gov.pt . 6. Monthly allowance: The scholarship amount corresponds to €651,12 according to the table of values for scholarships
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membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related fields
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of cilia. More information about the lab and specific project areas can be found at https://brown.hms.harvard.edu/research. We welcome applications from recent PhD graduates, particularly those who may
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 days ago
tissue; iii) processing and sectioning cardiac samples; iv) ELISA; Fluency in written and spoken English; Additional Information Website for additional job details https://dozer.i3s.up.pt/fileupload
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for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. For more information and how to apply: https://www.jobbnorge.no
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees