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New research-oriented doctoral programme Quantum Technology

  • European Social Fund (ESF)
  • 1 Jul 2017 to 30 Sep 2022
  • Czechia

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Operation co-funded by EU cohesion policy (European Social Fund (ESF)) under the programme Research Development and Education - CZ - ESF/ERDF (2014CZ05M2OP001), managing authority: MŠMT/odbor Řídicího orgánu OP VVV. The source names no beneficiary for this operation. Location: Prague (NUTS CZ010); Czechia. Budget: total eligible expenditure EUR 231,695.49; EU co-financing EUR 180,253.30241 (co-financing rate 75.9%), as stated by the source. Runs 2017-07-01 to 2022-09-30. Source: Kohesio, EU cohesion policy projects managed by national and regional authorities (not CORDIS). Summary from Kohesio (English machine translation by the source): The aim of the project is to introduce a doctoral study programme focused on quantum technology. The program will educate specialists who will have deep theoretical physical, mathematical and informatic knowledge, as well as specialised skills in quantum physics, quantum information theory, solid matter and surface physics, optics and photonics, mathematical modelling, preparation and characterisation of nanostructures. They will also be trained in the management and organisation of scientific work and development.

Original source.

Source: Kohesio (EU cohesion policy projects), European Commission, Directorate-General for Regional and Urban Policy (DG REGIO). Retrieved 2026-10-21. Licence: CC0 1.0 (Cohesion Open Data Platform, dataset 2014-2020 Kohesio projects). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: public domain dedication (CC0 1.0).

AI-assisted summary: A doctoral programme in Quantum Technology was established in Prague, Czechia, co-funded by the EU with a budget of EUR 231,695.49. The programme aims to educate specialists in various fields related to quantum technology from July 2017 to September 2022. Suggested technology pillar: enabling. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: kohesio.ec.europa.eu · checked 21 Oct 2026 · AI-assisted summary