Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- DAAD
- University of Oregon
- Wageningen University and Research Center
- Arizona State University
- Duke University
- Ghent University
- Imperial College London
- Leibniz
- Lulea University of Technology
- Nature Careers
- Prof. Ruilin Pei and Shenyang University of Technology
- Technical University of Denmark
- Technical University of Munich
- The University of Alabama
- Trinity College Dublin
- University of Luxembourg
- University of New Hampshire – Main Campus
- 7 more »
- « less
-
Field
-
Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
-
of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
-
The research group Mechanics of Materials and Structures at Ghent University (UGent-MMS) has 4 vacancies for PhD and postdoc research in the field of fibre-reinforced composites. The vacancies
-
of Chemistry (Inorganic Chemistry). Our group investigates fundamental questions in bioinorganic chemistry using advanced spectroscopic techniques to understand the structure and reactivity of complex metal
-
Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
-
Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app The research position is within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
-
and social structures, with significant consequences for individual well-being and societal costs. Unlike divorces earlier in life, individuals undergoing grey divorce have limited time to rebuild
-
failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
-
. This postdoctoral opportunity is co-funded through the NIH-funded KURe (K12 Urologic Research Career Development) Program, which provides structured career development, interdisciplinary mentorship, and additional