2,198 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" research jobs
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of PharmacyCountryNorwayGeofield Contact City Oslo Website https://www.mn.uio.no/farmasi/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail t.b.rounge@farmasi.uio.no ekateria@uio.no STATUS: EXPIRED X (formerly Twitter
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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LabsCountryGermanyCityBremenGeofield Contact State/Province Bremen City Bremen Website https://constructor.university/research/school-of-science Street Campus Ring 1 Postal Code 28759 STATUS: EXPIRED X (formerly Twitter) Facebook
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Contact State/Province Bremen City Bremen Website https://constructor.university/research/school-of-science Street Campus Ring 1 Postal Code 28759 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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the University’s commitment for the continuous improvement of the working and research environment of its researchers. More information can be found at https://www.cut.ac.cy/strategy_for_researchers/ Where to apply
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Contact City Porto Website https://www.requimte.pt/ Street Praça Coronel Pacheco, nº 15 6º andar Postal Code 4050-453 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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http://www.tudublin.ie Street 191 North Circular Road Postal Code D07 EWV4 E-Mail talentsupport@tudublin.ie STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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City Braga Website http://www.ceb.uminho.pt/ Street Campus de Gualtar Postal Code 4710-057 E-Mail bolsas@ceb.uminho.pt Phone 253604400 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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BiológicaCountryPortugalCityBragaPostal Code4710-057StreetCampus de GualtarGeofield Contact City Braga Website http://www.ceb.uminho.pt/ Street Campus de Gualtar Postal Code 4710-057 E-Mail bolsas@ceb.uminho.pt Phone 253604400 STATUS
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER