1,294 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
- Austria
- Denmark
- Germany
- United Kingdom
- France
- Worldwide
- Spain
- India
- Canada
- Belgium
- Mexico
- Sweden
- South Africa
- Hong Kong
- Switzerland
- United Arab Emirates
- Italy
- Luxembourg
- Singapore
- Australia
- Finland
- Netherlands
- Ireland
- Japan
- Norway
- Poland
- South Korea
- Taiwan
- Turkey
- Argentina
- Barbados
- Czech Republic
- Guadeloupe
- Israel
- Panama
- Portugal
- Vietnam
- 28 more »
- « less
-
Program
-
Field
-
systems, and clinical perspectives, allowing the candidate to acquire valuable skills and establish a strong independent research profile. Please submit the following application materials
-
will also profit from the vibrant research community around machine learning of the SCADS.AI center (https://scads.ai ) and the recently granted Excellence Cluster REC² – Responsible Electronics in
-
the HNSCC team, including Taran Gujral (machine learning-enabled drug screening), Slobodan Beronja (mouse models of HNSCC), and Patrick Paddison (functional genomics). This work will encompass a broad array
-
. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
-
in resulting companies, etc. The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications
-
senior research position to work on projects related to computational analysis of mass spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational
-
infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
-
The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
-
computational approaches for high-dimensional data analysis. https://www.epelmanlab.com/ http://www.uhnresearch.ca/researcher/slava-epelman @EpelmanLab This role has direct mentorship and guidance in grant
-
multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security