11 machine learning English-speaking jobs in Bremen (state)

learning, statistical modeling, and/or computational cognitive modeling Proven experience designing ... Experience developing data fusion frameworks or benchmarking systems Knowledge of privacy-preserving machine ... learning, dynamic consent mechanisms, and GDPR-compliant workflows Prior experience leading or coordinating ... expertise in neurocognitive, physiological, or multimodal behavioral data analysis Strong understanding of machine

paternity network ■ SAP Platinum Partnership: strong SAP partnership, large knowledge network, and SAP Learning

paternity network ■ SAP Platinum Partnership: strong SAP partnership, large knowledge network, and SAP Learning

paternity network ■ SAP Platinum Partnership: strong SAP partnership, large knowledge network, and SAP Learning

learning Testing and validation of those methods and technologies within an experimental maritime ... and threat scenarios using sensor and infrastructure data, for example through stochastic methods and machine ... and technical foundations of databases Knowledge of the mathematical and technical foundations of machine ... learning Experience in building and configuring computer systems as well as in the use and administration

Diploma) in Computer Science, Software Engineering or another relevant discipline Strong knowledge of machine ... In doing so, you will utilise unsupervised learning, autoencoders, isolation forests and active learning ... learning, particularly unsupervised learning, anomaly detection, time series analysis and their application ... , autoencoders and active learning Carrying out data preparation and fusion from heterogeneous sources ... AI models for anomaly detection in time series and geospatial data, in particular using unsupervised learning

communication skills and a positive, team-first attitude Curiosity, adaptability, and a passion for learning

communication skills and a positive, team-first attitude Curiosity, adaptability, and a passion for learning

Learning is part of everyday life.

the end of the probationary period Up to 30 days of vacation per year Further education through e-learning

characterized by team spirit and mutual appreciation,An extraordinary and exciting product portfolio,Continuous learning