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- Institute of Photonic Sciences
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) Positions PhD Positions Country Spain Application Deadline 30 Jan 2026 - 00:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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. The current position will be within a project aiming at developing quantum network nodes with laser cooled atoms, including highly excited Rydberg atoms as well as with single rare-earth ions in the solid-state
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and outreach. Co-supervision of PhD students, MSc and/or exchange students. Active contribution to group meetings and discussions. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail
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Offer Description Essential requirements Minimum required qualification: PhD (obtained more than 5 years ago) Postdoctoral experience with the ability to participate in and/or lead one or more research
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quantum memories, quantum light sources, quantum frequency conversion and quantum processing nodes. The current positions will be within a project aiming at developing quantum repeaters using solid-state
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. Unfortunately, around 50% of these individuals are unable to benefit from current or emerging treatments such as gene or stem cell therapies, pharmaceuticals, or retinal prostheses. Although cortical
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of the ovarian vein in women affected by Pelvic Congestion Syndrome (PCS). PCS affects approximately 15% of women aged 18 - 50. The current clinical solution consists of embolizing the ovarian vein by placing
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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the economic impacts of the rapid transformation of electricity markets, and to help better design electricity markets going forward. The project will develop and implement novel statistical tools and structural