Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
-cultural. EPFL covers a wide spectrum of science and engineering and offers a fertile sSchool of Basic Sciences include theoretical and experimental biophysics, biological imaging and physics of machine
-
some background in one or more of the following areas: Mathematical Optimization / Operations Research Reinforcement Learning, Machine Learning, and/or Multi-agent systems Game Theory Algorithms
-
(formulation, algorithms, applications in structural mechanics), HPC computing, reduced-order modelling, machine learning, Vibrations and structural dynamics, architected materials, Additive manufacturing
-
Education (CLUE), a new project being developed jointly between ETH Zurich EPFL, is an interdisciplinary initiative dedicated to advancing research and practice in learning and education across the lifespan
-
to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various
-
100%, Zurich, fixed-term We are seeking a skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will be involved in the development, optimization, and maintenance of our
-
science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
-
Computing Machine Learning Cyber Security (more...) Natural Language Processing Appl Deadline: none (posted 2024/10/04) Description: Apply Description The Institute for Computer Science, Artificial Intelligence
-
. INSAIT has also excelled in other areas of computer science such as machine learning, computer vision, and robotics, with publications in leading venues like CVPR, NeurIPS, ICML, and ICLR. Structured
-
• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc