Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- Stanford University
- Argonne
- Oak Ridge National Laboratory
- University of Oxford
- Carnegie Mellon University
- Cornell University
- Harvard University
- Pennsylvania State University
- University of Florida
- University of Washington
- Macquarie University
- Yale University
- Baylor College of Medicine
- Duke University
- Helmholtz Association of German Research Centres
- Queen Mary University of London;
- Stony Brook University
- Texas A&M University
- Aarhus University
- Baylor University
- Empa
- Forschungszentrum Jülich
- Massachusetts Institute of Technology
- New York University
- Northeastern University
- Queen Mary University of London
- SciLifeLab
- Singapore-MIT Alliance for Research and Technology
- Texas A&M AgriLife
- The University of Iowa
- UNIVERSITY OF HELSINKI
- University of California
- University of London
- University of Oxford;
- University of Vienna
- Virginia Tech
- Vrije Universiteit Brussel
- Wayne State University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ;
- AALTO UNIVERSITY
- CNRS
- Computer Vision Center
- Delft University of Technology (TU Delft)
- EPFL
- ETH Zürich
- European University Institute
- Heidelberg University
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Indiana University
- Institut Pasteur
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Lehigh University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Michigan State University
- Norwegian University of Life Sciences (NMBU)
- RIKEN
- Radboud University Medical Center (Radboudumc)
- Saarland University
- South Dakota Mines
- Technical University of Munich
- Texas A&m Engineering
- The University of Arizona
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- University of Amsterdam (UvA)
- University of California Irvine
- University of Illinois at Chicago
- University of Lund
- University of Massachusetts Chan Medical School
- University of Miami
- University of Nebraska Medical Center
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of North Carolina at Charlotte
- University of Reading;
- University of Southern California
- University of Tasmania
- University of Virginia
- Universität für Bodenkultur
- Washington University in St. Louis
- universitypositions
- 78 more »
- « less
-
Field
-
-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
-
using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Postdoctoral
-
future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
-
at Carnegie Mellon University invites applications for a postdoctoral researcher to lead projects at the interface of computational chemistry, machine learning, reaction mechanism elucidation, and automated
-
, the Peabody Museum, or more technical parts of the University for periods of time to learn about both research and operational workflows. Connections with the Wu Tsai Institute, the AI at Yale program, the Data
-
, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics, machine/deep learning, bioinformatics methods in
-
approaches to optimize the trade-off between privacy and utility especially in the context of large models. Advance knowledge of key AI methods such as deep learning, algorithm design, probability theory
-
studies (GWAS), fine-mapping, colocalisation, polygenic risk scoring, and Mendelian Randomisation; and (ii) deep phenotyping of multi-modal cardiovascular imaging (MRI, CT, echocardiography) from large
-
or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
-
network inference and modeling, machine learning and deep learning. Experience in working with Arabidopsis and plant genome data is a strong plus. The position is expected to continue for multiple years