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Researcher (R4) Application Deadline 30 Jan 2026 - 03:19 (UTC) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number P564015 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Researcher (R3) Application Deadline 23 Feb 2026 - 00:00 (UTC) Country United States Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this work is to develop polymer/gold nanowire composite
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Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Tampere
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Profile Recognised Researcher (R2) Application Deadline 27 Jan 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Supervisor Zuzana Sumbalová Koledová Project description Lactation
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Dipartimento di ingegneria industriale - Università degli Studi di Padova | Italy | about 2 months ago
of the 3D-printed clips; Analysis of the results Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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combining untargeted metabolomics, high-content imaging, and computational modelling, we will systematically compare how 320 small molecules reshape metabolism in both 2D and 3D environments. The resulting
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Scene Understanding Detection and Identification of Objects (SSUDIO) project. The purpose of this project is to develop scene understanding from 3D scans of ships by applying machine learning/computer