Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Susquehanna International Group
- University of Utah
- ICN2
- Kaiyuan International Mathematical Sciences Institute
- Nature Careers
- University of Newcastle
- University of Sheffield
- University of Tübingen
- ; University of Cambridge
- AALTO UNIVERSITY
- CSIRO
- DAAD
- Imperial College London
- Institute of Science and Technology Austria (ISTA)
- Leibniz Centre for Agricultural Landscape Research (ZALF)
- Lulea University of Technology
- Max Planck Institute for Demographic Research (MPIDR)
- Mid Sweden University
- University of Cambridge
- University of Glasgow
- University of Miami
- University of Oslo
- University of Texas at Austin
- Universität Düsseldorf
- 15 more »
- « less
-
Field
-
• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
-
, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
-
If you are establishing your career as scientist and want to be at the forefront of sensory research with focus on the use of modern objective and subjective sensory methods, then this position may
-
Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
-
Candidates must have a PhD and proven research experience in computationalanalyses, statistics, mathematical modeling, or engineering. Prior experience inophthalmology research is not required. Preferences
-
The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of the appointment. Type Benefited Staff Special
-
(applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience. Proven
-
Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
-
Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes