8 machine-learning-"https:" "https:" "https:" "RAEGE Az" Fellowship positions at Stockholms universitet
-
emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
-
matter observatory. Main responsibilities The postdoctoral candidate is expected to focus on statistical data analysis including machine learning, Monte Carlo simulations, operations and calibration
-
. The vision is a sustainable future through materials science. Read more: https://wise-materials.org . Project description Project title: Heterogeneous catalysis for sustainable organic synthesis. Supervision
-
at: How to apply for a position . Where to apply Website https://su.varbi.com/en/what:job/jobID:881687/type:job/where:39/apply:1 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research
-
activities. For more information see http://qtech.fysik.su.se/ . Main responsibilities The position involves experimental research with trapped ions, laser excitation into Rydberg states, characterization of
-
, characterization and investigation of circular processing and sustainable chemistry aspects. The Postdoctoral Fellow is also expected to instruct students and trainees, and to contribute to project management
-
. Where to apply Website https://su.varbi.com/en/what:job/jobID:869369/type:job/where:39/apply:1 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research FieldPhysicsYears of Research
-
apply Website https://su.varbi.com/en/what:job/jobID:870317/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryYears of Research