1,348 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Austria
- Denmark
- United Kingdom
- France
- Worldwide
- India
- Spain
- Belgium
- Canada
- Sweden
- Mexico
- South Africa
- Hong Kong
- Switzerland
- Luxembourg
- Italy
- Singapore
- United Arab Emirates
- Australia
- Finland
- Netherlands
- Ireland
- Japan
- Norway
- Poland
- South Korea
- Turkey
- Argentina
- Barbados
- Czech Republic
- Guadeloupe
- Israel
- Portugal
- Taiwan
- Vietnam
- 27 more »
- « less
-
Program
-
Field
-
Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
key role in the foundation of interoperable, machine-readable data platforms, powering AI analyses and automated workflows. You will collaborate with top scientists from all subject areas at BAM
-
measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
-
tabletop, functional, and full-scale drills to test institutional preparedness. Participate in a critique of each drill record lessons learned, and develop improvement plans to address identified shortfalls
-
peripherals). Experience supporting business teams around IT needs. Prefer experience with Windows, Apple, and Linux. Licensure, Registration and/or Certification Required by SJCRH Only: Certification in A
-
peripherals). Experience supporting business teams around IT needs. Prefer experience with Windows, Apple, and Linux. Licensure, Registration and/or Certification Required by SJCRH Only: Certification in A
-
basic science to its effective translation for preventing or alleviating disease. Candidates for this joint appointment should have research interests focused in computational immunology/AI/Machine
-
Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
quantum technologies. This research can be complemented by digital methods of process simulation and optimization, as well as machine learning. Requirements include an outstanding PhD in materials science
-
workshop for digital and conventional manufacturing (CNC, laser machining, additive manufacturing). At Principal level, you will also contribute to management and long-term technical strategy, infrastructure
-
machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics of hydrological connectivity of soil moisture using gridded soil
-
uncertainty? What motivates our mice to solve this difficult problem? How does the brain support flexible behavior and strategy-switching? Learn more about the Dennis lab here What we provide: A collaborative