Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
-
aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
-
& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
-
estimating system performance, capacity, and operational requirements under various industrial scenarios. What We Are Looking For (Your Profile): Required Qualifications: A master's or PhD in Energy Systems
-
In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
-
) Experience in training people to use delicate equipment Experience in surveying and negotiating with international distributors globally for experimental equipment PhD in natural sciences or technology
-
automation, CAD design, programming, vacuum systems, machine learning and/or electronics is considered advantageous but not required Alignment with our core values What we offer Full-time, 4-year PhD funding
-
Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit