Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
innovations and the biological discoveries they enable Your profile You have: a PhD in engineering, computer science, mathematics or a related field a strong background and proven experience in machine learning
-
that do not have this background, are strongly motivated to acquire the relevant skills during the early phases of the PhD, supported by training and in close collaboration with experts in single-cell
-
surgical outcomes. You will work on the development of machine learning algorithms that analyze thermal data and predict vascular performance, significantly contributing to the automation of medical imaging
-
strategies within it. You will combine archaeological and landscape data (maps, satellite imagery, archaeological datasets) with machine learning approaches to build a system that highlights promising
-
machine learning approaches to build a system that highlights promising locations for archaeological research. You are also expected to play an active role in project coordination and in writing follow-up
-
Machine Learning, Trustworthy AI, and physics informed learning. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current
-
advanced machine learning techniques Optical design and miniaturization of a novel spectroscopic sensor based on freeform optics, optimized for agrifood applications For this function, our Brussels
-
: experience in (stem) cell handling and culture experience with molecular techniques willingness to work with animal models (including pigs) and tissue fluent user of computer software (e.g. Microsoft Office
-
. Knowledge of data analysis, optimization, and machine learning techniques is a plus. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP) and software (e.g
-
have transformative potential across these research areas. We are now looking for an LLM Engineer in a shared position between VIB.AI's Machine Learning Expertise Unit and the Center for Neuroscience