Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- University of Bergen
- Nanyang Technological University
- Nature Careers
- University of Oslo
- University of North Carolina at Chapel Hill
- DePaul University
- Harvard University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- University of British Columbia
- Argonne
- George Mason University
- Johns Hopkins University
- SUNY University at Buffalo
- Singapore Institute of Technology
- The Ohio State University
- UNIVERSITY OF SOUTHAMPTON
- ;
- ; University of Cambridge
- Carnegie Mellon University
- Duke University
- Florida Atlantic University
- Forschungszentrum Jülich
- Genentech
- Imperial College London
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Los Alamos National Laboratory
- Marquette University
- National University of Singapore
- Northeastern University
- Pennsylvania State University
- SciLifeLab
- Stony Brook University
- Technical University of Denmark
- Technical University of Munich
- Texas A&M University
- The Chinese University of Hong Kong
- The University of Chicago
- The University of Southampton
- University of Alabama at Birmingham
- University of Central Florida
- University of Glasgow
- University of Maryland, Baltimore
- University of Massachusetts
- University of Michigan
- University of Nebraska–Lincoln
- University of South-Eastern Norway
- University of Texas at Austin
- University of Virginia
- University of Washington
- University of Waterloo
- University of Wisconsin-Madison
- Uppsala University
- Vrije Universiteit Brussel
- Western Norway University of Applied Sciences
- 45 more »
- « less
-
Field
-
microscopy. The ideal candidate will be highly creative, hardworking, and a team player. They will also have the ability to manage multiple projects and students in pursuit of team goals. Representative
-
within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
-
specific emphasis on the interpretation of single cell results within a biological context. The position also entails close collaborations with multiple groups, many at the Stanley Center in the Broad
-
. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
-
, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
-
approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three
-
communications and sensing. Skills Essential: C1 Excellent programming, algorithm development and scripting skills C2 Research creativity and strong cross-discipline collaborative ability as appropriate C3
-
associated with the Center for Digital Narrative (CDN) , a Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural
-
Norwegian Center for Research Excellence. The Center focuses on algorithmic narrativity, new environments and materialities, and the shifting cultural contexts in which digital narratives are received and
-
to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms. Key duties Develop a robust framework to simulate streamflow