Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
Python Arduino and C++ (Physical Computing) Creation of interactive objects and components Machine Learning and Natural Language Processing Specific Requirements Candidates must hold a PhD in engineering
-
preferred but not required. ? The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms
-
periods for learning, and how individuals’ innate variations interact with experience to give rise to differences in learned behaviors. The team focuses on vocal learning in songbirds as a model system to
-
experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
of Munich. At our institute you will find a scientifically stimulating international environment. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular
-
is not limited to, new technology solutions and the creation and implementation of AI and machine learning-enabled care workflows, in partnership and close collaboration with clinical and
-
knowledge of digital image processing, are helpful Basic knowledge fpr application of artificial intelligence and machine learning methods Creativity and ability to work independently in a scientific
-
predictive modelling; Bioinformatics and Knowledge Graphs (visualization and reporting); AI-based data integration across cohorts (with federated machine learning); Contribute to ongoing projects, such as: o
-
and graduate students from across the US and the world, as well as crisis intervention in our Wellness Exchange walk-in clinic. Postdocs also spend part of their time serving on one of three specialty
-
, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum