Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Harper Adams University
- ; Swansea University
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of Nottingham
- Cranfield University
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Exeter
- University of Sheffield
- ;
- ; Imperial College London
- ; The University of Manchester
- ; University of Exeter
- ; University of Nottingham
- ; University of Sheffield
- The University of Manchester;
- University of Birmingham
- University of Cambridge
- University of Greenwich
- University of Manchester
- University of Warwick;
- 12 more »
- « less
-
Field
-
- skills – experience: analytical skills, ability to demonstrate good knowledge in system modelling – simulation, (classical or modern) control theories or control applications with evidence Desirable
-
of the assembly of these complex microbial communities using ecological theory and mathematical models. The questions we address are: (1) how does the microbial community change during cultivation
-
about the ones you don’t check! Familiarity with the theory of electromagnetic fields and waves. Experience with programming in C++ and / or Python. Some exposure to parallel computing, e.g., OpenMP, MPI
-
undertake a mixture of experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when
-
contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
-
systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
-
recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis
-
leverage advanced bespoke continuum robotic systems to demonstrate the feasibility of applying the proposed coatings can be deployed in-situ. Ultimately, this work bridges the gap between the theory