1,950 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" PhD positions
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and TechnologyCountryLuxembourgCityluxembourgGeofield Contact City Esch-Belval Website http://www.list.lu/ Street 5, avenue des Hauts-Fourneaux Postal Code L-4362 E-Mail jobs@list.lu STATUS: EXPIRED X
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Amsterdam Website http://www.uva.nl/ Street Spui 21 Postal Code 1012 WX STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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Evolutionary Bias Database for Nucleic Acid Structures (NA3D4U) Built with Help of AI Development and integration of microbial biomass database with AI supported collection and validation of data Genetic-Code
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for position #26000746 and apply using this link: http://www.join.pitt.edu . The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human
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Pollinators, pollen uptake and their influence on plant pollination through metabarcoding? Protists with an alternative nuclear genetic code and their evolution Reproductive division of labor in Xylocopinae
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interested in. Semester contribution Students have to pay a social contribution fee of approx. 330 EUR per semester, including a semester ticket covering public transport in Germany (https://studium.ruhr-uni
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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2026 Where to apply Website https://www.imb.de/phd/apply Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood Additional
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Faculty Position Control Number 0039 Suffix 01 Contingency Code 15 FTE 1.0 Contract Basis Academic Year Anticipated Contract Start Date 01/05/2026 FLSA Status Exempt Tenure Tracking Non-Tenure Track Rank
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in