Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
integration, power grids, energy markets, and energy analytics. You will have access to world-class experimental and digital infrastructures through the PowerLabDK platform (link ), including high-performance
-
Job Description We are looking for an experienced automation scientist to join the Biofoundry in the Adaptive Laboratory Evolution team. The job You will be responsible for day-to-day operation and
-
threats to human and environmental health. This position aims to develop advanced catalytic technologies, including thermal, microwave, and photocatalysis, to convert plastic waste into high-value chemicals
-
and evaluate sustainable food packaging solutions that integrate material innovation, production systems, and microbiological safety for high-impact societal and scientific outcomes. Responsibilities
-
performance and reduce structural loads. Perform load assessments in HAWC2 by integrating characterized wind fields into aeroelastic simulations. Collaborate with a multidisciplinary team of engineers and
-
ultrasound scanner capable of performing real-time 3-D super-resolution imaging of the microcirculation in humans. The scanner is based on the methods developed in the SURE ERC synergy grant project for Super
-
PhD students working collaboratively at the interface of physics and Earth science. This project offers a rare opportunity to engage in groundbreaking research with high impact across both academic and
-
nanofiber membranes based on the polymer materials and structures. Evaluate the membrane performance for water treatment and food production. Collaborate with the other PhD candidate at DTU Sustain in
-
: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
-
to 4 Year Fixed Term, funding in the first instance to 31st July 2029) Be part of history. Join us at Cambridge to help deliver the world's first multi-site trial of ultra-high field 7T MRI to transform