Sort by
Refine Your Search
-
Listed
-
Employer
- CIC energiGUNE
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- UNIVERSIDAD POLITECNICA DE MADRID
- Barcelona Supercomputing Center (BSC)
- Computer Vision Center
- ICN2
- IRTA
- Institute for bioengineering of Catalonia, IBEC
- Institute of Photonic Sciences
- Instituto de Neurociencias de Alicante, CSIC-UMH
- Universitat Pompeu Fabra - Department / School of Engineering
- 1 more »
- « less
-
Field
-
, computer science, bioengineering, data science, or a closely related discipline. • Demonstrate advanced proficiency in artificial intelligence and machine learning, particularly in applications involving
-
transcriptomics data analysis. Experience in quantitative image analysis, computer vision, or digital pathology. A strong background in cancer biology or immunology. Experience with machine learning, deep learning
-
Leonardo. The successful candidate will play a crucial role in developing and optimizing machine learning workflows for large-scale environmental data analysis, contributing to the creation of robust and
-
Experience in machine learning techniques Postdoc 3: Experience in the computation and analysis of hydrodynamic cosmological simulations of galaxy formation and evolution Experience in simulations