Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Pennsylvania State University
- Heidelberg University
- Rutgers University
- University of Oxford
- University of Oxford;
- Baylor College of Medicine
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- EPFL
- Empa
- Harvard University
- Karolinska Institutet (KI)
- Linköping University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- NEW YORK UNIVERSITY ABU DHABI
- SciLifeLab
- University of Illinois at Chicago
- University of Pittsburgh, Pittsburgh , Pennsylvania, US
- University of Virginia
- VIB
- 10 more »
- « less
-
Field
-
Infrastructure? No Offer Description Postdoctoral studies single-cell and computational biology(scholarship) Do you want to contribute to better health for all? A postdoctoral position is available in
-
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
-
research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
-
Details Title Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard University Position
-
, microbiologists, statisticians, data scientists and AI specialists and to represent the research group externally. Experience of controlled human infection or vaccination studies, integration of single-cell and
-
About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
-
externally. Experience of controlled human infection or vaccination studies, integration of single-cell and multi-omic datasets, machine learning or AI approaches, and HPC or cloud computing would be
-
learning potentials to predict SAM formation on solar cell absorber and battery electrode surfaces Understand the evolution of the electronic structure under realistic operating conditions Contribute
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 3 months ago
bioengineering (Bock Lab , CeMM/MedUni Vienna)Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature Biotechnology ), we develop agentic AI and “virtual cell
-
statistical learning frameworks to decipher single-cell and spatial transcriptomics data, with the goal of uncovering cellular and tissue dynamics underlying cancer, inflammation, and tissue senescence