55 postdoctoral-image-processing-in-computer-science PhD positions at Ghent University in Belgium
Sort by
Refine Your Search
-
the project fits the scope of Baekeland mandates. Every year in January there is an information session at which the VLAIO programme coordinator explains the modalities of the call. The exact date and link for
-
to evaluate the process and explore future implementations. Other empirical studies will be conducted to examine how and when adolescents may more strongly benefit from resonant breathing exercises. Together
-
) PhD degree at Ghent University) can apply. Exchange students cannot apply for this scholarship; This program is meant for students at the beginning of their PhD. To a limited extent, PhD students
-
://www.ugent.be/bw/environment/en/research/sofer ) Group and Precision Soil and Crop Engineering (Precision Scoring - https://www.ugent.be/bw/environment/en/research/presco ) Group, within the Department
-
programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
-
are crucial for all soil processes and their associated ecosystem services. Soil biology is thus determining plant health, crop yields, resilience of soils against physical degradation, water storage, carbon
-
international projects. This position is open for candidates holding a Master of Science in Industrial Engineering, Operations Research, Computer Science Engineering, Mathematical Informatics, Business
-
internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
-
preclinical experiments on ex vivo brain slices and in vivo rodent models to investigate and optimize the effects of TIS Analyze ex vivo and in vivo electrophysiological and fMRI imaging datasets Collaborate
-
for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical