1,371 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Austria
- Denmark
- United Kingdom
- France
- Worldwide
- Spain
- India
- Belgium
- Canada
- Mexico
- Sweden
- South Africa
- Hong Kong
- Switzerland
- Luxembourg
- Italy
- Singapore
- United Arab Emirates
- Australia
- Finland
- Netherlands
- Ireland
- Japan
- Poland
- South Korea
- Turkey
- Argentina
- Barbados
- Czech Republic
- Guadeloupe
- Israel
- Norway
- Portugal
- Taiwan
- Vietnam
- 27 more »
- « less
-
Program
-
Field
-
commitment to fostering a diverse and inclusive community in the practice and teaching of science. The successful candidates will be expected to have excellent academic achievements, teach graduate and
-
of technology which integrates robotics, computer vision, and data infrastructure to enable scalable, reproducible and data rich transformation platforms, supporting the team with subject matter expertise
-
of computational tools including Artificial Intelligence (AI) and Machine Learning (ML) in virtual screening, small molecule design and optimization is preferred. Set up the chemistry strategy for projects and
-
key agroecosystem variables. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and
-
, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine
-
Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
-
proficiency in MS software and end-user proficiency in CMMS software. Working knowledge with computer maintenance management systems (CMMS)s, preferred. Working knowledge of building automation systems (BAS)s
-
that promote and maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced
-
, biobanks, electronic health records); A sound understanding of Statistical and Machine Learning concepts, particularly in relation to genomics; Prior experience working with multiple data sources and
-
or plasmapheresis machines Experience in a blood donor center or plasma center Job Responsibilities: Collaborate with internal/ external teams to coordinate and execute assigned tasks (e.g., processing, evaluation