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will be enrolled in the PhD program Advanced Modelling MAterials and Technologies (AMOMAT) (University of Niccolò Cusano, Engineering Department) and the supervisor will be Ilaria Cacciotti (orcid 0000
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 22 hours ago
no application deadline. Please refer to https://www.imprs-stns.mpg.de/application for details. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double
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17 Jan 2026 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Other Economics » Industrial economics Engineering » Other Researcher Profile
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Deadline 6 Mar 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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., Pettersson, H., Behrens, A., Männik A., 2018. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 152, 57–71. https://doi.org/10.1016/j.oceaneng
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Deadline 6 Mar 2027 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project will be jointly supervised by Lucien Vienne (CNRS engineer and
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inputs to perform joint computations without revealing their individual data. This technology has far-reaching implications across industries, from healthcare to finance, empowering secure and privacy