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Machine learning engineer Jobs in Schäftlarn
Research Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, Germany- Gesponsert
EiR - Product & Business Development (m / w / d) - MUC
DataGuardMunich, Bayern, GermanyInformatiker (m / w / x) Datenanalyse in Schärding bei Passau
EV GroupBayern, DEGlobal Learning and Development Manager (m / f / d)
EOS GmbHKrailling- Gesponsert
Werkstudent : in Human Resources (m / w / d) – Learning &Development
ARVAL Deutschland GmbHOberhaching, GermanyQualification Engineer
Ascend Advanced TherapiesPlanegg, BY, DESystem-Engineer / IT-Service-Engineer
ADAC Luftrettung gGmbHspäter Oberpfaffenhofen, DE- Gesponsert
Entry Level Design Engineer
Cross Border TalentsTaufkirchen, GermanyLeitung (m / w / d) Digital Learning & Content Management
PHARMATECHNIK GmbH & Co. KGStarnberg, Bayern, DeutschlandMachine Operators Needed in Munich, Germany New
Skills ProvisionBayern, GermanyField Service Engineer
microTECH Global LtdBayern, Germany- Gesponsert
Software Developer – Data Analytics & AI (w / m / d)
TÜV SÜD AGWolfratshausen, DEFunctional Safety Engineer
Analog DevicesStrasse, Aicher, Otl, Munich, Germany(Senior) Referent Personalentwicklung & Learning (M / W / D)
Sana Kliniken AGMobiles Arbeiten, BayernWerkstudent : in Human Resources (m / w / d) – Learning & Development
Arval Deutschland GmbHOberhaching, DE- Gesponsert
Al Engineer fmx
NXT YOU GmbHGrünwald, GermanyCutting machine operator (f / m / d)
FreudenbergEurasburg- Gesponsert
Personalized Internet Ads Assesor (DE) Remote
TELUS InternationalOberhaching, Lübeck- 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.