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Submitted by
Uwerf on Fri, 21/02/2020 - 17:09.
In the Theory of Cold Atoms group of Prof. Uwe R. Fischer at Seoul National University, two Postdoc positions are open in the field of quantum simulations of curved spacetimes (aka analogue gravity). Previous experience in the latter field and its implementations in various systems is required, such as in ultracold dilute quantum gases, ion traps, polariton condensates etc., and is to be documented in published form.
Submitted by
Jense on Thu, 20/02/2020 - 13:30.
We are offering a funded three year postdoctoral position to a highly motivated and well-qualified researcher who intends to work in the field of quantum thermodynamics. The successful candidate will work as part of the research group led by Jens Eisert at the FU Berlin. For an overview of research activities of the group, see
http://www.physik.fu-berlin.de/en/einrichtungen/ag/ag-eisert/research
Submitted by
lamico on Wed, 19/02/2020 - 19:50.
Dates:
Wednesday, March 18, 2020 to Friday, March 20, 2020
Submission deadline:
Friday, February 28, 2020
Registration deadline:
Friday, February 28, 2020
Atomtronics@Catania2020: Model design for atomtronics-enabled quantum technology”, March 18-- March 20
Venue: Dip. di Fisica e Astronomia/INFN-Laboratori Nazionali del Sud, Catania (Italy), Aula E. Migneco (Foresteria LNS).
Submitted by
paler on Sat, 15/02/2020 - 18:02.
Submission deadline:
Wednesday, April 15, 2020
2nd International Workshop on Quantum Resource Estimation (QRE 2020)
https://www.quantumresource.org/
May 30, 2020, Valencia, Spain, co-located with International Symposium on Computer Architecture (ISCA) 2020.
Submitted by
cbonato on Tue, 11/02/2020 - 16:36.
We offer a 2-years PhD position (with possible extension) for a motivated researcher to join our work on adaptive quantum sensing. Our goal is to develop an automatic quantum sensor, based on a single spin in diamond, enhanced by machine learning algorithms. The sensor will automatically optimize its settings to operate in conditions of maximum sensitivity, minimizing the estimation times.
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