Machine learning scientist Jobs in Puchheim
Research Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, GermanyInformatiker (m / w / x) Datenanalyse in Schärding bei Passau
EV GroupBayern, DE- Gesponsert
Produktmanager Machine Vision Software (m / w / d) - Projektmanagement, Qualitätsmanagement, IT
STEMMER IMAGINGPuchheim, DEGlobal Learning and Development Manager (m / f / d)
EOS GmbHKraillingMachine Learning Engineer / AI-Engineer
Titanom TechnologiesGermering, BY, DEPostdoctoral scientist (m / f / x) - Complex in vitro models for oncology research
Daiichi Sankyo EuropeMartinsried, Germany- Gesponsert
Personalized Internet Ads Assesor (DE) Remote
TELUS InternationalKarlsfeld, DortmundWerkstudent E-Learning and Development OSINT (gn)
ESG Elektroniksystem- und Logistik-GmbHFürstenfeldbruck, DEMachine Operators Needed in Munich, Germany New
Skills ProvisionBayern, Germany- Gesponsert
Fachinformatiker (w / m / d) fuer Systemintegration Distance Education 2025
Siemens AGPlanegg, Bayern, DEMechanical Engineer (m / f / d)
RandstadSeefeld, Oberbayern, BayernMachine Learning Engineer
DeutschlandGPTGermering, BY, DE- Gesponsert
EiR - Product & Business Development (m / w / d) - MUC
DataGuardFürstenfeldbruck, Germany(Senior) Referent Personalentwicklung & Learning (M / W / D)
Sana Kliniken AGMobiles Arbeiten, BayernToolmaker / Werkzeugmacher (m / f / d)
ADECCOGauting, Bayern (kath.), DE- Gesponsert
Al Engineer fmx
NXT YOU GmbHGrünwald, GermanyFood Scientist Intern (f / m / d)
Planet A Foods GmbHPlanegg, Bayern, DE- Gesponsert
Scientific Associate Director Biostatistics / Product Owner (f / m / d)
Leukocare AGPlanegg, 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.