Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Oslo
- CNRS
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Rutgers University
- SciLifeLab
- University of British Columbia
- University of Utah
- AALTO UNIVERSITY
- Basque Center for Applied Mathematics
- Brookhaven National Laboratory
- California Institute of Technology
- Chalmers University of Technology
- DIFFER
- Delft University of Technology (TU Delft)
- Earlham Institute
- European Molecular Biology Laboratory (EMBL)
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Helmholtz-Zentrum Berlin für Materialien und Energie
- INAF-Osservatorio Astronomico di Trieste
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Instituto Superior Técnico
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- International PhD Programme (IPP) Mainz
- KU LEUVEN
- Loyola University
- Ludwig-Maximilians-Universität München •
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SUNY University at Buffalo
- Simons Foundation/Flatiron Institute
- Technical University of Denmark (DTU)
- The University of Alabama
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Umeå University
- University of California
- University of Pennsylvania
- Uppsala universitet
- Zintellect
- 33 more »
- « less
-
Field
-
Science Foundation's Programmable Cloud Laboratories (PCL) Test Bed program to establish ELECTRA, a remotely accessible, AI-enabled automated laboratory for electron diffraction (MicroED) and structural
-
architectures), determination of optimal embeddings and encodings for protein structures, multiple alignment methods, Bayesian dendrogram reconstructions, and benchmarking including jackknife resampling. Position
-
to integrate heterogeneous molecular data, but are often less explicit about biological directionality and causal inference. This project instead builds on the structure of the central dogma, using genetic
-
Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and computational biology. Your network and team Dr Martinelli is an independent Research Fellow
-
. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed
-
. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
-
on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
-
Leaders program, nominees must have been working and residing outside Canada when the Eddie Goldenberg Research Chairs of Canada award (https://www.canada.ca/en/impact-pluschairs.html) is formally accepted
-
on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
-
, active learning, Bayesian optimization, agentic AI, or closed-loop materials discovery. Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis