Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
? Join our team to develop next-generation multi-aperture ultrasound technology combining distributed sensing, adaptive acquisition, image reconstruction, and AI-driven imaging for groundbreaking clinical
-
significant growth and now has more than 2,300 staff members and approximately 5,700 students. We are located in the heart of the Bio Science Park, one of Europe’s largest science parks, where academia and
-
on developing multi-scale mechanical models to predict how printed inks behave under mechanical and environmental stress. Your role: Build multi-scale models and extend the Eindhoven Glass Polymer Model for latex
-
Researcher to join a multidisciplinary systems medicine research environment at the University of Turku. The position is embedded in an internationally recognized team working at the forefront of multi-omics
-
systems, gas networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale
-
data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
-
analysis? Are you inspired by applications to engineering, physics, or industrial problems? Do you thrive in a multi-disciplinary environment? Information Many of the most challenging problems in science and
-
at the intersection of these three knowledge gaps. The project will develop a multi-sited, multi-scalar, comparative and theorized ethnography of gender inequality, gender advocacy and gender policies in fisheries in
-
related field Excellent reacting flow multi-physics computation experience in high-performance computing (HPC) environments Experience in computational fluid dynamics (CFD) codes and modeling Ability
-
of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised