Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Belgium
- Germany
- Sweden
- Denmark
- Portugal
- Poland
- Romania
- Singapore
- Netherlands
- Australia
- Canada
- China
- Italy
- Spain
- Austria
- Finland
- Greece
- Hong Kong
- India
- Latvia
- United Arab Emirates
- Croatia
- Cyprus
- Czech
- Europe
- Luxembourg
- Mexico
- New Zealand
- Switzerland
- Worldwide
- 23 more »
- « less
-
Field
-
Low maintenance reliable main bearings for large wind turbines Offshore Wind CDT PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce, Dr Thawhid Khan, Mr Wooyong Song, Dr Siren
-
20 Jan 2026 Job Information Organisation/Company Télécom Paris Research Field All Other Technology Computer science Researcher Profile Recognised Researcher (R2) Positions Research Support Positions
-
subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python (PyTorch, scientific Python) with solid
-
these values to apply. Additional information can be found on the Library’s DEIA webpage: https://www.library.illinois.edu/geninfo/deia/ . Position Summary: The Grainger Engineering Library Information Center
-
multimodal expansion (“ImmunoPixel‑seq”). Work includes NGS data processing, spatial barcode mapping, single‑cell & spatial analysis, and cell segmentation in brain, tumor, and other tissues. Purpose
-
research group of IDLAB is seeking a highly motivated and talented PhD student to join its team. DECIDE conducts research on Distributed and Embodied Computing in Dynamic Environments. Our research spans
-
will work as part of a collaborative team, working closely with fellow postdoctoral researchers and PhD candidates across ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS) and other
-
. Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates for research associate appointments may not exceed a combined
-
program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
-
will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI