Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on RL and graph neural networks (GNNs) demonstrate some of our key research
-
of scientists. We are seeking a technical scientist with an excellent underpinning knowledge of Biophysics theory and experience of at least one current specialist technology used in this field. The scientist
-
language processing and graph learning Develop data visualisation tools Working in a cross disciplinary team with economists, computer, environmental, and other scientists This is a diverse and dynamic role, and the
-
Immunoprecipitation Mass spectrometry of Endogenous complexes). We have identified about 50 proteins that can associate with Ascl1 or other NEPC transcription factors, some of which are enzymes that could in theory be
-
or related areas. The ideal candidates will have extensive experience in microscopy, micromanipulation, growth of microorganisms, and dynamical systems theory. Fixed-term: The funds for this post are available
-
management studies. The Organisational Theory and Information Systems (OTIS) group at CJBS has developed a reputation for research that is rigorous, original, and consequential. Faculty regularly publish in
-
addition to publishing impactful research, our members engage in diverse research areas such as game theory, industrial organisation, innovation, econometrics, entrepreneurship, and behavioural decision theory. We welcome
-
. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model
-
Ethnicity paper, but also contributing to other undergraduate papers such as SOC3 Global Social Problems and Dynamics of Resistance, SOC6 Advanced Social Theory, SOC4 Concepts and Arguments in Sociology and
-
areas: machine learning, decision making, and theory and practice of deep learning. We encourage applicants who will strengthen our current research activities in probabilistic machine learning