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Machine learning engineer Jobs in Fürstenfeldbruck
Research Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, Germany- Gesponsert
Physicist, mathematician, meteorologist, computer scientist or similar (f / m / x) - Forschung, Ingenieur
Deutsches Zentrum für Luft- und Raumfahrt (DLR)Weßling, DEInformatiker (m / w / x) Datenanalyse in Schärding bei Passau
EV GroupBayern, DESenior System Engineer - Electrical Machines (m / f / d)
Orizon Holding GmbHWeßling- Gesponsert
Produktmanager Machine Vision Software (m / w / d) - Projektmanagement, Qualitätsmanagement, IT
STEMMER IMAGINGPuchheim, DEGlobal Learning and Development Manager (m / f / d)
EOS GmbHKraillingRF / Antenna Engineer
Adepto Technical RecruitmentWeßling, BY, DESystem-Engineer / IT-Service-Engineer
ADAC Luftrettung gGmbHspäter Oberpfaffenhofen, DE- Gesponsert
Senior Software Engineer
g2 RecruitmentBavaria, Germany, GermanyAutomation Engineer
JAEGGI Hybridtechnologie AGHans-Güntner-Str, Fürstenfeldbruck, DEWerkstudent E-Learning and Development OSINT (gn)
ESG Elektroniksystem- und Logistik-GmbHFürstenfeldbruck, DEMachine Operators Needed in Munich, Germany New
Skills ProvisionBayern, GermanyField Service Engineer
microTECH Global LtdBayern, GermanyProcess engineer balloon development (m / f / d)
The Lubrizol CorporationWessling, BY, DESystems Engineer
AMMGroupOberpfaffenhofen, Munich, Germany(Senior) Referent Personalentwicklung & Learning (M / W / D)
Sana Kliniken AGMobiles Arbeiten, Bayern- Gesponsert
Server Support Engineer
ComputershareDacha, GermanyIndustrial Engineer •in / Logistics (m / w / d) Voll- und Teilzeit
Atlas CopcoPuchheim, Germany- Gesponsert
Fachinformatiker (w / m / d) für Systemintegration - Distance Education 2025
Siemens AGPlaneggCAM Engineer
Straumann GroupGraefelfing, GermanyResearch Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, GermanyWe develop the first prototype of a climate model improved with quantum computers, extending the work carried out under the European Research Council (ERC) Synergy Grant on “Understanding and Modelling the Earth System with Machine Learning by replacing subgrid-scale parameterisations first by ML and then by QML approaches (ICON-ML and ICON-QML, respectively). The unique opportunities offered by quantum computing are explored to improve and accelerate climate models and its development process. In this position, simulations with the newly developed climate model ICON-ML or ICON-QML are carried out in comparison with the conventional climate model ICON, and the team is technically supported in the development of ICON-ML or ICON-QML. In addition, the evaluation of the simulations carried out in comparison with observations is technically supported with the help of the ESMValTool developed at the Institute.