Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- Sweden
- Portugal
- Belgium
- United Kingdom
- Austria
- Norway
- United Arab Emirates
- Singapore
- China
- Spain
- Netherlands
- Switzerland
- Denmark
- Poland
- Canada
- Greece
- Hong Kong
- Italy
- Brazil
- Estonia
- Finland
- Japan
- Saudi Arabia
- Andorra
- Armenia
- Czech
- India
- Ireland
- Luxembourg
- Malta
- Mexico
- Morocco
- Uzbekistan
- 26 more »
- « less
-
Program
-
Field
-
subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development of numerical methods for multi
-
university stakeholders and external partners to support shared objectives and ensure cohesive campus-wide execution; Responsible for navigating and making complex, multi-faceted decisions involving numerous
-
-ionizing radiation in healthcare while fostering a culture of innovation, research, and supporting optimal patient outcomes. Department Specific Job Scope The Health Physics Department is responsible
-
Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 1 month ago
-team.gitlabpages.inria.fr/ ) is approximately composed of 15 people whose core expertise ranges from robotics design/control to cognitive sciences including biomechanics and numerical constrained optimization. The recruited
-
workflow optimization, systems implementation, service standards, and the use of metrics-driven management practices (e.g., OKRs, KPIs, dashboards) to improve accountability, decision-making, and
-
receives the care he or she deserves to achieve optimal outcomes. The research endeavors by faculty and investigators in the Section of General Surgery are just as wide and varied as the diseases they treat
-
to evaluate the progress of the doctoral research project. Excellent Conditions Our aim is to create an optimal research environment for doctoral researchers and to provide you with every possibility
-
this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Wednesday, 18th February 2026. Late applications will not be considered. Further information may be obtained from http://www.um.edu.mt
-
incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
-
: Perform high-fidelity thermal and mechanical numerical simulations for metal additive manufacturing. Develop and implement PIML models for analysis and optimization of metal additive manufacturing