48 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" positions at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Are you a robot learning researcher eager to push the boundaries of dexterous manipulation? Join DexLab at Imperial College London, led by Dr. Rolandos Potamias and Stefanos Zafeiriou, in a
-
to lead transformative research in formal methods for safe reinforcement learning. Overview. The FMAI lab at Imperial is seeking highly motivated and talented Postdoctoral Research Associates (PDRAs
-
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated, should we receive a high volume of applications. It is...
-
once a suitable candidate is selected. Are you interested in developing machine-learning methods for protein design and applying them to a new class of materials-manufacturing problem? The Research
-
capable of protecting a habitable atmosphere, and how magnetic fields shaped the protoplanetary disc. You will combine new micromagnetic models, machine-learning inversion of magnetic hysteresis data and
-
environment for children to thrive and learn in. This allows them to reach their full potential alongside our passionate and dedicated team. Our curriculum incorporates the Froebelian approach to learning
-
collaboration from our Ed Tech teams. The Education Systems and Delivery team work alongside an Ed Tech Learning Design and Innovation team. Both sections work in partnership with one another to provide high
-
resistance (AMR)? In this role, you will contribute to the Fleming Initiative’s flagship education project, which aims to teach young people about AMR. You will play a key role in involving teachers in
-
Are you passionate about inspiring young people into STEMB and ready to shape the future of global youth learning? As Portfolio Manager – Global Youth Experiences, you will join Imperial College
-
, uncertainty quantification and potentially machine-learning approaches, with a strong emphasis on reproducible science. You will publish in high-quality journals, present findings at national and international