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the ability to perform complex data analyses. Has experience with implementing computer-based experiments as well as field experiments. Has professional proficiency in English, both written and spoken
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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of personal background. Applications must be submitted electronically using the link "Apply now". Attached files must be in Adobe PDF format. We strongly recommend that you read How to apply for a position at
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-Alemany (email: angral@kt,dtu.dk ) and Dimitar Borisov Karakashev (email: dbka@kt.dtu.dk ). You can read more about DTU Chemical Engineering at www.kt.dtu.dk . If you are applying from abroad, you may find
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information For further information, please contact: Associate Professor, Xuping Zhang, +45 41893167, Email: xuzh@mpe.au.dk . Deadline Applications must be received no later than February 26th. Application
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
University with related departments. Contact information For further information please contact Center leader and professor: Mogens Sandø Lund, email: mogens.lund@qgg.au.dk, telephone: +45 20751222, or PostDoc
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on two types of phenomena: (i) Charge Density Wave (CDW) order in magnetic, lanthanide-based MOFs and (ii) electride-like, quasiatomic electron states that reside in the pores of certain MOFs. The aim
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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, or thematic) and how their expertise would be applied to advance the project’s overarching objectives. Curriculum vitae (with applicant’s email and telephone number). Documentation of qualifications
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong