Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Newcastle University
- DAAD
- Technical University of Denmark
- University of Bergen
- Forschungszentrum Jülich
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Nature Careers
- Newcastle University;
- Norwegian University of Life Sciences (NMBU)
- Swansea University
- University of Amsterdam (UvA)
- CNRS
- Centre for Genomic Regulation
- Cranfield University;
- DTU Electro
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- KU LEUVEN
- Linköpings universitet
- Loughborough University
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Monash University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Tallinn University of Technology
- Technical University Of Denmark
- Umeå University
- University of Adelaide
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published today
- University of Basel
- University of Exeter;
- University of Southern Denmark
- University of Surrey
- Università di Pisa
- Vrije Universiteit Brussel
- 29 more »
- « less
-
Field
-
(rhizotron facility) and field trials. In addition to field applications, novel inversion algorithms for ground-penetrating radar (GPR) and electromagnetic (EM) will be developed. These algorithms will enable
-
treatment of adrenal diseases. Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation
-
monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into
-
Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
Movement Study, we are closely collaborating with Assistant Professor Xucong Zhang (Delft University of Technology) to develop systems and algorithms that allow for eye gaze study through multiple camera
-
patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
-
-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
-
for ground-penetrating radar (GPR) and electromagnetic (EM) will be developed. These algorithms will enable high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel
-
to seamlessly integrate complex hormonal data, high-resolution wearable sensor streams, and endocrine test outcomes. Intelligent Artifact Detection: Develop cutting-edge Machine Learning algorithms
-
includes directions such as building hyperbolic vision transformers, making it possible to learn from multiple hierarchies, developing theory and implementations to make hyperbolic learning stable and
-
Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and