20 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD research jobs at Nature Careers
Sort by
Refine Your Search
-
refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
-
archival). Your primary tasks will be: Development of new research projects in collaboration with colleagues at the DTU Aqua sections and/or international partners. Publication of papers in peer reviewed
-
development opportunities. More information about the employee benefits at the University of Helsinki can be found at https://www.helsinki.fi/en/about-us/careers/why-university-helsinki/staff-benefits . FURTHER
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
here: https://edu.lu/wwpy7 Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas, in collaboration with the Automation and Robotics Research Group, led
-
for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
-
enabled High-Performance Computing environments is an asset Open minded critical thinker, willing to actively contribute to the further development of multi-cultural and multi-disciplinary research team
-
the development of a higher-layer semantic planning, the decomposition of the plan in subsegments and dedicated controller (such as MPC) for combined planning and control on a subsegment of the XS-Graph
-
will be embedded in the Computational Mechanics (Legato ) group and enrolled in the Doctoral Programme in Complex Systems Science. Depending on background and interests, the PhD may include: Development
-
Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human