Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- ;
- Nature Careers
- University of Michigan
- AbbVie
- Johns Hopkins University
- KINGS COLLEGE LONDON
- King's College London
- University of Bergen
- University of Birmingham
- University of South-Eastern Norway
- George Mason University
- Indiana University
- National University of Singapore
- University of Michigan - Ann Arbor
- University of Oslo
- Western Norway University of Applied Sciences
- Birmingham City University
- CRANFIELD UNIVERSITY
- City of Hope
- Dalhousie University
- Florida Atlantic University
- Genentech
- Harvard University
- Marquette University
- Queen's University
- San Diego State University
- Singapore Institute of Technology
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- University of California Los Angeles
- University of Cincinnati
- University of Kansas Medical Center
- University of Maryland, Baltimore
- University of Saskatchewan
- University of South Carolina
- University of Stavanger
- University of Texas at Austin
- University of Waterloo
- 30 more »
- « less
-
Field
-
initiative within AbbVie's broader AI strategy, with direct applications to accelerate drug development and reduce safety-related attrition across multiple therapeutic areas. Key Responsibilities Identify
-
programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch Familiarity with image processing libraries and a solid grasp of deep learning
-
, 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
-
to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate
-
challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers
-
community. Requirement: PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like
-
to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
-
for aircraft systems. You will integrate heterogeneous data streams (from multiple sources, such as sensory, physics model, etc.), flag impending failures, pinpoint and trace back the origin of system faults
-
involvement in research activities) in one or multiple areas mentioned above. In addition, we request the following expertise: Convex/non-convex optimization Signal processing and general communications
-
transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily