Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
and pose estimation, microscopy image acquisition and/or physiological recordings, video game engines, multiple displays, etc.) as well as development of geometrically precise, reconfigurable, closed
-
variety of computational devices (e.g. CPUs and GPUs) while ensuring overall consistency and performance. - contribute to identify new CSE applications domains, such as condensed matter systems, quantum
-
, and GPU cluster-based environment. • Strong troubleshooting and problem-solving skills. • Experience with vendor management and IT procurement related matters. • Ability to manage multiple
-
, PyTorch, JAX, and Scikit-learn. Mentor and develop a team of RSEs in an inclusive, collaborative environment. Expand your technical expertise while supporting research projects across multiple academic
-
extreme scenarios. Your tasks: Conduct security and resilience studies for highly stressed systems (e.g., multiple faults, high renewable shares, or equipment failures). Evaluate system vulnerabilities and
-
the challenges of multiple scattering in thick biological specimens, including: • Engineered Heart Tissues (EHTs) • Brain organoids • Live biological cell cultures • Fish and aquatic biological samples Multiple
-
movement. Contribute to the development of a multiple data source integration (visual and acoustics) for early detection of lung diseases. Develop and optimise scalable data processing pipelines, including
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 18 days ago
distribution. The work also aims to improve inference efficiency by reducing dimensionality, reusing computations, and combining multiple measurements. The PhD candidate will develop, test and validate
-
place internally or by vendors utilizing expert knowledge crossing multiple clinical applications and operational areas. Leads projects associated with application implementation and execution of high
-
ability to scale models using distributed computing environments. Excellent oral and written communication skills for effective collaboration across multiple teams. Commitment to embodying the core values