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submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities
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. Introduction The SDU Software Engineering section at the Maersk Mc-Kinney Moller Institute (Faculty of Engineering) invites applications for a 2-year postdoctoral position in the intersection of edge computing
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, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities and salary range Natural
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, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech@au.dk Formalities and salary range Natural
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
. Contact info Applicants seeking further information are invited to contact Alfred Spormann, e-mail: aspormann@au.dk Deadline for application and the recruitment process The application deadline is 30th
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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. Contact info Applicants seeking further information are invited to contact Alfred Spormann, e-mail: aspormann@au.dk Deadline for application and the recruitment process The application deadline is 30th
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Job Description The Quantum and Nanophotonics Section at DTU Electro is seeking a highly motivated postdoc to be a part of a program on ‘Symmetry-guided discovery of topological photonics’, led by
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world. Job Info Job Identification 5776 Job Category VIP B Posting Date 08/25/2025, 05:19 AM Apply Before 09/21/2025, 05:59 PM Locations Søltofts Plads Bygn. 220, Kgs. Lyngby, 2800, DK
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs