Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
but are not limited to: development of new AI architectures for biology and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and
-
ability to acquire competitive funding. Interdisciplinary mindset and keen on collaborating broadly in the center, the department and the university. Motivated to guide postdoctoral researchers, PhD interns
-
an advantage: Deep learning or machine learning Structural bioinformatics Protein structure prediction and modelling Molecular simulations Membrane proteins or membrane biophysics Scientific software development
-
an advantage: Deep learning or machine learning Structural bioinformatics Protein structure prediction and modelling Molecular simulations Membrane proteins or membrane biophysics Scientific software development
-
in machine learning, computer science, computational biology, statistics, or a related field.Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).Experience developing AI
-
in machine learning, computer science, computational biology, statistics, or a related field. Knowledge of modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Experience developing AI
-
computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science, computational biology, computational neuroscience
-
and deep learning techniques. About the role Your role will include: analyzing image-based plant phenotyping datasets (RGB, hyperspectral) designing and optimizing data analysis workflows for automated
-
computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science, computational biology, computational neuroscience
-
About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems