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Machine learning engineer Jobs in Herrsching a.Ammersee
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Machine learning engineer • herrsching a ammersee
Research Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, GermanySenior Software Engineer (m / f / d)
Quantum- Systems GmbHGilching, BY, DEInformatiker (m / w / x) Datenanalyse in Schärding bei Passau
EV GroupBayern, DESenior System Engineer - Electrical Machines (m / f / d)
Orizon Holding GmbHWeßlingExpert Engineer Product Safety
ICE Engineering Services GmbHGreifenberg, Bavaria, GermanySoftware Engineer III
Rocket SoftwareBavaria, Germany(Senior) IT Systems Engineer (m / w / d)
PHARMATECHNIK GmbH & Co. KGStarnberg, Bayern, Deutschland- Gesponsert
Personalized Internet Ads Assesor (DE) Remote
TELUS InternationalGeltendorf, BraunschweigProduct Engineer Hardware
SolventumSeefeld, DEIngeniero / a de sistemas Ground Segment Galileo
GMVGilching, Baviera, 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, DESystem-Engineer / IT-Service-Engineer
ADAC Luftrettung gGmbHspäter Oberpfaffenhofen, DE- Gesponsert
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Administrator linux, linux engineer
operational services GmbH & Co. KGMünchen, Region München, Bayern; Regierungsbezirk Oberbayern; Bayern, GermanyIT Support Engineer
ISG International Service GroupBavaria(Senior) Referent Personalentwicklung & Learning (M / W / D)
Sana Kliniken AGMobiles Arbeiten, BayernSales Engineer Massachusetts
DELOWindach, Bayern, DE.NET Software Engineer
Noir ConsultingGilching (82205), BayernResearch 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.