Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Bowdoin College
- Stanford University
- Princeton University
- Carnegie Mellon University
- University of Oslo
- Argonne
- Brookhaven Lab
- Chalmers University of Technology
- Cornell University
- Duke University
- New York University
- Technical University of Munich
- Texas A&M University
- University of North Carolina at Chapel Hill
- ;
- Heriot Watt University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UNIVERSITY OF HELSINKI
- Aarhus University
- CWI
- KINGS COLLEGE LONDON
- Leibniz
- Linköping University
- NEW YORK UNIVERSITY ABU DHABI
- National Renewable Energy Laboratory NREL
- Oak Ridge National Laboratory
- Brookhaven National Laboratory
- Durham University
- Medical College of Wisconsin
- UNIVERSITY OF VIENNA
- University of Bergen
- University of Connecticut
- University of Luxembourg
- University of Minnesota
- University of Nevada Las Vegas
- University of Oregon
- University of Oxford
- University of Tübingen
- VIB
- Yale University
- ; Maastricht University
- ; Nagoya Institute of Technology
- ; University of Cambridge
- ; Xi'an Jiaotong - Liverpool University
- Aalborg University
- Baylor College of Medicine
- Boston University
- Case Western Reserve University
- Centre for Genomic Regulation
- Cold Spring Harbor Laboratory
- Empa
- European Space Agency
- Forschungszentrum Jülich
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heidelberg University
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- King's College London
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- McGill University
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- Norwegian Center for Violence and Trauma Stress Studies
- Pennsylvania State University
- Purdue University
- Rutgers University
- The University of Arizona
- The University of Iowa
- The University of Memphis
- UNIS
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Arkansas
- University of British Columbia
- University of California Berkeley
- University of Cambridge
- University of Central Florida
- University of Cincinnati
- University of Colorado
- University of Copenhagen
- University of Florida
- University of Groningen
- University of Kansas
- University of Liverpool
- University of Lund
- University of Maryland
- University of Miami
- University of Nebraska Medical Center
- University of Saskatchewan
- University of Southern California
- University of Texas at Arlington
- University of Texas at Dallas
- University of Twente
- University of Virginia
- University of Washington
- University of West London
- Vanderbilt University
- 90 more »
- « less
-
Field
-
. Position Responsibilities Develop and implement machine learning and deep learning models to analyze and interpret high-throughput functional genomics data, such as ChIP-seq, RNA-seq, and ATAC-seq
-
large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience
-
cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
-
/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
-
challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
-
, including fitting and manipulation of large array-type data sets (using Python, Matlab or equivalent) Ability to communicate well, and work within a collaborative team environment Preferred Knowledge, Skills
-
experience in life cycle assessment (LCA) and related tools for managing large data sets to evaluate natural resources needed to advance emerging technologies. The candidate will lead their primary project and
-
computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
-
computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
-
experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and