Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
/2025.03.02.641062 Your Profile The successful applicant should hold a master's degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological
-
apply for multiple studentships on one application. Contact Details Jingjing Zhang Jingjing.Zhang@ncl.ac.uk You can also contact: doctoral.awards@ncl.ac.uk for independent advice on your application.
-
that may remove such constraints, leading to a fundamental challenge: the potential co-existence of genetically distinct clones, each supporting multiple stable cancer cell states. To understand the effect
-
application per studentship, you cannot apply for multiple studentships on one application. Contact Details Dr Matthew Fisher matthew.fisher@newcastle.ac.uk. You can also contact: doctoral.awards@ncl.ac.uk
-
civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
-
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
-
research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
-
the title of the research project from this advert. You do not need to upload a research proposal. You must submit one application per studentship, you cannot apply for multiple studentships on one
-
(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic