Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
-
, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Perceptual Inference, Probabilistic
-
Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80
-
assistant professorship or a tenured associate professorship in Structural Biology, Biophysics or Biological Imaging. We encourage applications from candidates who explore fundamental questions in biology
-
property analysis, sorting, and grading. Contribute to the TIMBERHAUS project by applying advanced image processing and AI methods for timber quality assessment. Integrate experimental data with
-
), digital image/volume correlation and targeted manipulation of polymeric chains (i.e., mechanophore additions) to gain a deeper insight into the failure process of polymeric rubbers. The PhD student will
-
application process, please contact the Office of the Dean (dekanat-philnat@unibas.ch ). The deadline for receipt of applications is November 3, 2025. The University of Basel is an equal opportunity and family
-
adapted to the needs of pediatric heart surgery, modern diagnostic imaging equipment, and a pediatric intensive care unit. Excellent infrastructure for experimental and clinical research is available in
-
professorship or a tenured associate professorship in Structural Biology, Biophysics or Biological Imaging. We encourage applications from candidates who explore fundamental questions in biology ranging from
-
datasets, code, experience around tomographic measurements of battery materials and components, image processing, and multiphysics simulation. During their study, doctoral students are encouraged to pitch