Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Location Remote, US Scheduled Hours 40 Position Summary The Anastasio Laboratory at Washington University in St. Louis seeks a Staff Scientist to advance wave-based tomographic image reconstruction
-
, and investigations of finite-coupling corrections. The application period is from 29 september to 13 October 2026. Gross salary per year: 47.286,00€ Where to apply Website https://t.ly/DmZbd
-
Black Holes as Electromagnetic Sources and Future Gravitational-Wave Targets for LISA”, led by Dr. Aleksandra Olejak. The successful candidate will also work in close collaboration with other researchers
-
of cosmology and theories of gravity. Possible research directions include: modified theories of gravity; black holes and compact objects; gravitational waves; dark matter models; strong-field tests of general
-
field theory and/or precision computations. Relevant research directions include: - scattering amplitudes, - gravitational-wave observables from QFT techniques and waveform modelling, - their high-energy
-
of low-thermal-noise and low-optical-absorption amorphous thin-film coatings for Cosmic Explorer and other current and future gravitational-wave detectors 2. Develops, performs, and analyzes atomistic
-
Infrastructure? No Offer Description Waves are widely used for imaging in applications ranging from geophysics and medical ultrasound to non-destructive testing. In these applications, the aim is to infer
-
those interested in work on machine learning, participating in our analysis of ground-based telescope and gravitational-wave data to study multi-messenger, transient objects by building machine learning
-
https://emploi.cnrs.fr/Offres/CDD/UMR7231-MARTOU-001/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent Research
-
Application deadline: 01/12/2026 Research theme: Quantum communication, condensed matter, quantum optics How to apply: https://uom.link/pgr-apply-2425 This 3.5 year PhD project is fully funded