Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
years postdoctoral experience required in machine learning and drug discovery. Desired Qualifications* Ph.D. in systems biology, computational biology or related field Experience with omics data analysis
-
Driven Discovery. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and quality check. Assist senior analysts
-
publications and present results at meetings and to funding stakeholders. PhD degree and 5 years postdoctoral experience required in machine learning and drug discovery. Ph.D. in systems biology, computational
-
collected and writing up experiment results in the field of computational biology. Core responsibilities include: Working with biological data - implementing algorithms, programming and data analysis
-
of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
-
, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
-
-time reinforcement learning algorithms to personalise training difficulty for the DRUM-AI training app and help shape the future of AI-assisted rehabilitation. The post holder will be based in
-
About the Role We are seeking brilliant and passionate Algorithm Researchers to join our core team dedicated to advancing the frontiers of Artificial General Intelligence (AGI). In this role, you
-
. Experience working on the theory, design, and analysis of quantum computing experiments. Experience in the design, simulation, and/or implementation of variational quantum algorithms, resource estimation and