Sort by
Refine Your Search
-
research environment with the research team. Applicants should hold or near completion of a PhD in Chemistry or a closely related discipline. Excellent verbal and written communication skills, including
-
, to share data, tools and methods with relevant stakeholders and engage with those working on ethics and governance projects. You should have a PhD in eukaryotic synthetic biology (or equivalent
-
of GPU hardware and software (NVIDIA, AMD), cloud platforms (AWS, GCP, Azure), and high-performance computing environments. Strong understanding of technology contracts, financial acumen as it pertains
-
experience in data analysis techniques used in high energy physics, including Monte Carlo methods and statistical analysis Knowledge of neutrino physics Proficiency in software development for particle physics
-
at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research
-
supervise undergraduate student projects, setting and assessing work using appropriate methods and criteria. You will contribute to educational research, evaluation and critical enquiry activities, including
-
classes, and will supervise undergraduate student projects, setting and assessing work using appropriate methods and criteria. You will contribute to educational research, evaluation and critical enquiry
-
others in the use of new digital systems and/ or software Understanding of project management techniques and methods Excellent oral and written communication skills, with the ability to communicate complex
-
team comprised of Dr David Labonte (PI), and PhD students from different disciplines, working on different aspects of this project at the Department of Bioengineering , Imperial College London. David's
-
The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory