Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Harvard University
- National University of Singapore
- University of Alabama, Tuscaloosa
- University of Cincinnati
- University of Oslo
- Nature Careers
- Cold Spring Harbor Laboratory
- KINGS COLLEGE LONDON
- King's College London
- Northeastern University
- The University of Alabama
- University of Adelaide
- University of British Columbia
- ; Technical University of Denmark
- Central Michigan University
- Genentech
- George Mason University
- LINGNAN UNIVERSITY
- Monash University
- Nanyang Technological University
- Ryerson University
- Simula Metropolitan Center for Digital Engineering
- Singapore Institute of Technology
- The University of Queensland
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Liverpool
- University of Maryland, Baltimore
- University of Michigan
- University of Surrey
- University of Waterloo
- Western Norway University of Applied Sciences
- 25 more »
- « less
-
Field
-
projects that leverage our optical expertise to probe brain function Preferred Qualifications & Expertise: PhD in neuroscience, bioengineering, computational biology, or related field At least one strong
-
hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
-
Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
-
) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and eye disorders. The De Paola Lab at Duke-NUS
-
over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
-
towards this goal. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd
-
the application form, which is limited in the number of characters it will allow.) Interviews: 4th and 5th of August 2025. About you The successful candidate must hold a PhD in mathematics or computational biology
-
representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
-
and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
-
PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and