Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
practical applications, including solving mathematical reasoning problems. The ideal candidate has a strong background in machine learning and an interest in bridging rigorous theoretical insights with
-
machine learning approaches Collaborating with experimental and clinical research partners Support and preparation of scientific reports and journal articles
-
approaches Applying statistical modeling, causal inference, and machine learning approaches to identify determinants of developmental robustness Applying causal inference approaches to identify critical
-
combines machine learning, legal applications, and empirical evaluation in collaboration with judicial partners. The project offers a unique opportunity to work on real-world, high-stakes AI systems in
-
methods and are willing to acquire skills in experimental and quantitative research Have an excellent command of English; German and/or French language skills are a plus We offer Your job with impact
-
armasuisse Science and Technology and partners from industry and the Swiss Armed Forces. The research contributes to the scientific foundation of monitoring and rapid altering systems for underground
-
Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
-
and quantum solid state physics is absolutely essential Good computer skills are a plus We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development
-
. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
-
Publish high-impact research in leading journals and present findings at international conferences on energy systems and machine learning Collaborate with industry partner to tackle challenges of practical