Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- AbbVie
- Nature Careers
- Genentech
- Indiana University
- Johns Hopkins University
- University of North Carolina at Charlotte
- King Abdullah University of Science and Technology
- Harvard University
- King's College London
- Montana State University
- National University of Singapore
- Simons Foundation
- University of Rhode Island
- University of South-Eastern Norway
- ;
- ; Maastricht University
- City of Hope
- Cornell University
- Emory University
- Florida Atlantic University
- Georgetown University
- Humboldt-Stiftung Foundation
- Imperial College London
- KINGS COLLEGE LONDON
- NTNU - Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Northeastern University
- Oklahoma State University
- Purdue University
- SUNY University at Buffalo
- The University of Alabama
- The University of Memphis
- UiT The Arctic University of Norway
- University of British Columbia
- University of California
- University of Michigan
- University of Texas at Austin
- Vanderbilt University
- Zintellect
- 30 more »
- « less
-
Field
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
-
spatial transcriptomics and imaging genomics projects, integrating bulk and single-cell RNA-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological
-
thermodynamics Design and implement machine learning models for data collection, reduction, analysis, and visualization. Work creatively, independently, and productively. Work as a member of a multidisciplinary
-
, molecular dynamics, and machine learning, to model battery electrolyte and solid electrolyte interphase (SEI), while collaborating with experimentalists. Qualifications • Ph.D. in Computational Materials
-
research and 35% teaching. Mellon Fellows will teach one course per semester. These courses will be small innovative seminars of their design or a section of Science, Technology, and Governance in
-
discoveries. Who You Are: Ph.D. with a proven track record of excellence in Computer Science and Machine Learning, with substantial domain experience in biology and genomics. Must have advanced at least one key
-
, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
both the NCRC in Kannapolis and UNC Charlotte in Charlotte. Experience in yeast genomics, RNA-sequencing, bioinformatics, or machine learning is preferred. Departmental Preferred Experience, Skills
-
career development of young investigators in the field of basic and translational hematology. Postdoc candidates will also have the opportunity to learn basic and clinical hematology, innate immunity
-
, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong