Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc position in 3D Computer Vision, remote sensing ... The Laboratory of Visual Intelligence
-
experimental approaches including electrophysiology, data analysis, and computational approaches. Possible methods include ex vivo electrophysiology of human, primate, pig, and mouse retina, in vivo recordings
-
The Swiss Centre for Applied Human Toxicology (SCAHT), associated to the University of Basel, is seeking a highly motivated Postdoctoral Researcher in Digital & Computational Toxicology
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
-
, writing manuscripts and presenting at scientific conferences Your profile Required qualifications include a PhD degree in computational biology or a related field. We are looking for a research-driven and
-
Position Description Postdoctoral Positions in Theoretical Quantum Matter and Quantum Information Science Swiss Federal Institute of Technology in Lausanne (EPFL) The group of Dr Kruchkov at EPFL
-
Position Description Position Description The research group of Professor Mikaela Iacobelli in the Department of Mathematics at ETH Zurich invites applications for a two-year postdoctoral position
-
and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
-
. Scalable AI training: distributed training, efficient fine-tuning, evaluation, and deployment on large-scale compute. Multimodal learning: representation learning and generative modeling across heterogeneous