Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Bergen
- University of Oslo
- Imperial College London
- Northeastern University
- University of British Columbia
- Harvard University
- University of Michigan
- Genentech
- National University of Singapore
- ;
- AbbVie
- King Abdullah University of Science and Technology
- Nature Careers
- Ryerson University
- SciLifeLab
- University of Michigan - Ann Arbor
- Australian National University
- Boston College
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- George Mason University
- Georgetown University
- Hiroshima University
- Humboldt-Stiftung Foundation
- KEK
- KINGS COLLEGE LONDON
- King's College London
- RMIT University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Simons Foundation/Flatiron Institute
- The University of Iowa
- University of Adelaide
- University of Cincinnati
- University of Massachusetts
- University of Nottingham
- University of Saskatchewan
- University of South-Eastern Norway
- University of Stirling
- University of Tasmania
- University of Texas at Austin
- University of Waterloo
- 32 more »
- « less
-
Field
-
apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
-
, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
-
developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
-
of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and machine learning Personal and relational qualities will be emphasized. Motivation
-
be proficient in both written and oral English. Experience from one or both of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and
-
balance of supervised investigation and work experience in a learning environment that will expose the participant to activities across the drug development process. We are seeking scientists from U.S
-
behaving mice, and advanced modeling + machine learning analyses. Please read more about our research at www.apostolideslab.org . Key questions we want to answer are: How do neural circuits extract
-
synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake behaving mice, and advanced modeling + machine learning analyses
-
backgrounds: Molecular biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and
-
skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries. Familiar with Linux OS, virtual environment working and batch scripting. Programming proficiency in R, Python