1,259 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"UCL" "https:" "https:" "https:" PhD positions
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AVEIROCountryPortugalCityAveiroPostal Code3810-193StreetDepartamento de Química-Campus Universitário de SantiagoGeofield Contact City Aveiro Website http://www.ua.pt Street Campus de Santiago Postal Code 3810-193 STATUS: EXPIRED X
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Interdisciplinary TechnologiesCountryPolandGeofield Contact State/Province Poland City Toruń Website http://www.icnt.umk.pl/en/home/?lang=EN Street Wileńska 4 Postal Code 87-100 E-Mail humeco@umk.pl STATUS: EXPIRED
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. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your
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Institute for Forest, Snow and Landscape Research WSLCountrySwitzerlandCityBirmensdorfPostal Code8903StreetZürcherstrasse 111Geofield Contact City Uitikon Website https://www.wsl.ch/en.html Postal Code 8903
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personal@ufz.de Website https://recruitingapp-5128.de.umantis.com/Vacancies/3305/Description/2 Requirements Additional Information Website for additional job details https://recruitingapp-5128.de.umantis.com
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Code57076 StreetHölderlinstr. 3 Contact State/Province Northrhine-Westphalia City Siegen Website https://networked-embedded.de/ Street Adolf-Reichwein-Str. 2a Postal Code 57068 E-Mail roman.obermiasser@uni
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https://mvso.cz/ Street tř. Kosmonautů 1288/1 Postal Code 77900 E-Mail personalista@mvso.cz STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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of Erasmus+ partner institutions) canteen, allowance for meals, events for employees Website for additional job details https://www.mvso.cz/files/pozice-2.pdf Work Location(s) Number of offers
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opportunity to be part of the project “Bavarian Artificial Intelligence for Insect Monitoring” (https://go.ur.de/baimo ), which investigates the effects of climate change on insect populations as part of
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2