Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
scientific staff and 85 PhD students. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus University offers a
-
the area. Qualifications Applicants must have a PhD degree in a relevant field related to Sensory and Consumer science, from a University or an academic institution As the work will involve international
-
be in close collaboration with our EUROfusion partners under the supervision of Xuping Zhang. Your profile Applicants should hold a PhD in Robotics with good experiences in dynamics and control
-
deliverables Disseminating results through scientific publications Presenting results in well-known international conferences and workshops Implementing proof-of-concept solutions Providing guidance to PhD, MSc
-
of competitive research proposals. You should have experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction
-
technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
-
. St. Jude trainees are able to learn from clinical and basic science investigators who work in close proximity and interact regularly to translate scientific discoveries into improved therapies
-
Area of research: Scientific / postdoctoral posts Job description: Postdoc (f/m/x) in Deep Learning and Digital Pathology 102827 Full time 39 hrs./week Neuherberg near Munich Partial Home Office
-
microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory