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application! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative of Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 18 days ago
Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PHD Student__PS_09/2026 Is the Job related to staff position within a
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areas of nanoscience and nanotechnology. Job Title: PhD Student Department: Nanobioelectronics and Biosensors Description of Group/Project: The Nanobioelectronics and Biosensors Nanobioelectronics and
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | about 1 month ago
this announcement. Please submit the following documents to: [email protected] Kindly specify in the application topic: R_18/2026_ICTER Website for additional job details https://icter.pl/jobs/phd-student-r_18
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the Job related to staff position within a Research Infrastructure? No Offer Description PhD in plant systems biology for climate change resilience and disease resistance Details: https://www.science.hr
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position on Frictions in Workers’ Career Decision Making Process Details: https
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD researcher Department of Work and Organisation Studies (WOS). Details: https
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: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group focused on application-inspired basic research
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/jobs/363562/phd-student-harnessing-phase-tr… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363562/ Work Location(s) Number of offers
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clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on demonstrating disruptive new network architectures for AI compute clusters utilizing optical