Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Ellison Institute of Technology
- University of Miami
- Cornell University
- Harvard University
- VIB
- EPFL
- SciLifeLab
- University of Basel
- University of Lund
- University of Oxford
- University of Oxford;
- Aarhus University
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- Barnard College
- Baylor College of Medicine
- CRUK Manchester Institute
- Chemeketa Community College
- City of Hope
- Dartmouth Geisel School of Medicine - Department of Molecular and Systems Biology
- Empa
- European Molecular Biology Laboratory (EMBL)
- FAPESP - São Paulo Research Foundation
- Georgia Institute of Technology
- Goethe University Frankfurt
- INSERM
- Indiana University
- Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague)
- International PhD Programme (IPP) Mainz
- La Salle University
- Loyola University
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- McGill University
- Nencki Institute of Experimental Biology
- Northeastern University
- Prellis Biologics, Inc.
- Princeton University
- Rutgers University
- Saint Louis University
- Technical University of Denmark;
- The California State University
- The Rosalind Franklin Institute
- The University of Chicago
- The University of Iowa
- The University of Skövde
- University of Amsterdam (UvA)
- University of California
- University of Colorado
- University of Copenhagen
- University of Glasgow
- University of Illinois at Chicago
- University of Minnesota
- University of Oslo
- University of South Carolina
- 43 more »
- « less
-
Field
-
about biology and interested in building new machine learning and AI to accelerate biological discoveries? Then this position is for you! Join Us! We are looking for a motivated PhD candidate to develop
-
of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
-
welcomed. The project sits at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development. Tasks of the PhD Student - Develop and
-
insights into actionable strategies for pediatric care. Our work combines statistical and mechanistic mathematical modeling, causal inference, and machine learning, applied to longitudinal multi-omics data
-
single-cell and single-nucleus multi-omics, machine learning/AI, computational biology, and experimental validation to understand cardiovascular disease progression and identify novel therapeutic targets
-
and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
-
intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
-
Tech, including PhD programs in Bioinformatics; Quantitative Biosciences (QBioS); Algorithms, Combinatorics, and Optimization (ACO); Computational Science and Engineering (CSE); and Machine Learning (ML
-
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be