Model Jobs in Dießen am Ammersee
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Research Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, GermanySenior Engineer Loads & Aeroelastics
AMMGroupOberpfaffenhofen, Munich, GermanyGerman Speaking Junior Campaign Specialist in Barcelona
Cross Border TalentsBavaria, GermanyDO-254 FPGA Developer - (m / f / d)
Technology & StrategyBayernGermany, BavariaTeam Leader
Southern Co-opBosham, Delling Lane, GBSenior Frontend Developer (m / f / d) - Architecting Digital Experiences
Creolytix GmbHWeilheim i. OB, DESenior Director, Enterprise
DatabricksBavaria, GermanySystemingenieur / Entwicklungsingenieur Luft- und Raumfahrt (m / w / d)
AkkodisOberpfaffenhofenAircraft safety and reliability Engineer (m / f / d)
STRATO Personal GmbHWeßling, Oberbayern, Bayern, DESenior Engineer Loads & Aeroelastics (m / w / d)
Aviation Industry Personnel SERVICES GmbHWeßling, Bayern, DENetwork and Digital Communication Systems Engineer (m / f / d)
OHBWeßling bei München, Bayern, DETooling Designer (m / f / d)
Orizon Holding GmbHWeßling- Gesponsert
- Neu!
Chief Accountant - German speaking (all genders)
Schleich GmbHMünchen, Region München, Bayern; Regierungsbezirk Oberbayern;Bayern, GermanyBattery Assembly Technician (m / f / d)
STRATO personal GmbHWeßling, OberbayernSenior Software Engineer Surgical (m / f / d).
MedtronicWessling, Bavaria, GermanySenior Engineer Loads & Aeroelastics (m / f / d)
Orizon GmbH, Unit AviationWeßling, deTest Engineer - Propulsion (all gender)
OSB AGWeßlingResearch 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.