Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Monash University
- Nanyang Technological University
- Fraunhofer-Gesellschaft
- ;
- University of Sheffield
- NIST
- Pennsylvania State University
- Princeton University
- Carnegie Mellon University
- University of Michigan
- ETH Zurich
- Northeastern University
- Technical University of Munich
- The University of Chicago
- University of Toronto
- Rutgers University
- University of California, San Diego
- University of Texas at Austin
- University of Miami
- University of Washington
- Cornell University
- Johns Hopkins University
- Oak Ridge National Laboratory
- University of British Columbia
- European Space Agency
- University of California
- California Institute of Technology
- Cedars Sinai Medical Center
- McGill University
- University of Oxford
- Brookhaven Lab
- National University of Singapore
- Purdue University
- Stony Brook University
- University of Colorado
- University of Florida
- University of Pittsburgh
- University of Vienna
- Zintellect
- KINGS COLLEGE LONDON
- Texas A&M University System
- UNIVERSITY OF VIENNA
- University of Alabama at Birmingham
- University of Glasgow
- University of Michigan - Ann Arbor
- University of Pennsylvania
- University of Virginia
- Yale University
- AIT Austrian Institute of Technology
- Brandeis University
- Duke University
- Grand Canyon University
- Harvard University
- Stanford University
- The Ohio State University
- The University of Arizona
- The University of Queensland
- University of California, Los Angeles
- University of Manchester
- University of Maryland
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- University of Texas at Dallas
- Forschungszentrum Jülich
- Fred Hutchinson Cancer Center
- Imperial College London
- Lawrence Berkeley National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- North Carolina State University
- Nottingham Trent University
- SUNY University at Buffalo
- University of Arkansas
- University of Cambridge
- University of Cincinnati
- University of Dayton
- University of Houston Central Campus
- University of Maryland, Baltimore
- University of Massachusetts Medical School
- University of Minnesota
- University of Nebraska Medical Center
- University of Nebraska–Lincoln
- University of Oklahoma
- University of South Carolina
- William and Mary
- Aalborg University
- Brookhaven National Laboratory
- Columbia University
- Dalhousie University
- Free University of Berlin
- Georgetown University
- Iowa State University
- Linköping University
- Singapore Institute of Technology
- The University of Iowa
- University of California, Merced
- University of Lund
- University of Southern California
- University of Southern Mississippi
- 90 more »
- « less
-
Field
-
for Humanity. What you would be doing: Research – As a part of the Dyson School of Design Engineering, you will actively develop and lead your own research programme, in line with our research themes and vision
-
Computer Science, Engineering Education, or a closely related field • Demonstrated ability to teach at the college level • Knowledge of algorithmic thinking and basic computational problem-solving • Excellent
-
(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
-
implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning. The role involves
-
engineering. This unique position combines cutting-edge computational modeling with hands-on laboratory experimentation to design and validate novel proteins using state-of-the-art protein language models. Key
-
research and teaching within The University of Queensland (UQ) School of Electrical Engineering and Computer Science (EESC). The QDA brings together academia, industry, and government to accelerate
-
sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
-
. Strong applied knowledge of classical machine learning algorithms, including implementation with scikit-learn, model evaluation using metrics such as accuracy, precision, recall, F1-score, and
-
. Department: Res Dept of Biomedical Computing. Contact details:Dr. Rachel Sparks. rachel.sparks@kcl.ac.uk Location: St Thomas Hospital. Category: Professional & Support Services. About Us We are seeking
-
algorithm design and development of effective computing techniques To see examples of our innovative work please visit: https://www.ecshowcase.com/ What We're Looking For Education and Experience Needed