Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Germany
- France
- Norway
- Portugal
- Singapore
- Belgium
- Netherlands
- Spain
- Denmark
- China
- Italy
- Switzerland
- Canada
- Australia
- Luxembourg
- Hong Kong
- United Arab Emirates
- Austria
- Finland
- Poland
- Morocco
- Czech
- Ireland
- Cyprus
- Japan
- Brazil
- Latvia
- India
- Saudi Arabia
- Lithuania
- Bulgaria
- Estonia
- Greece
- Taiwan
- Andorra
- Israel
- Romania
- Slovenia
- South Africa
- Armenia
- Barbados
- Europe
- Iceland
- Malta
- Mexico
- New Zealand
- Slovakia
- Vietnam
- 41 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Arts and Literature
- Humanities
- Social Sciences
- Chemistry
- Linguistics
- Earth Sciences
- Environment
- Law
- Sports and Recreation
- Electrical Engineering
- Physics
- Design
- Philosophy
- 14 more »
- « less
-
skills. Excellent communication skills and team-oriented mindset. Experience withprocess efficiency staffing modeling. Responsibilities: Assign union, student and temporary labor to weekly location and/or
-
project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
-
. Students develop and analyze fundamental motor, fitness and sport skills necessary to model, deliver and assess quality instruction. Students learn best practices in teaching through a sequential program of
-
of LCA methods and tools. • Familiarity with energy–water–land interactions, environmental impact assessment, or infrastructure planning. • Machine learning or data-driven methods for large-scale
-
atmospheric perturbations, and improving performance under realistic operational conditions. Main activities include: • Designing and developing deep learning models to correct wavefront sensor nonlinearities
-
–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype
-
Date: August 15, 2026 (negotiable) Specialty Areas: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan
-
established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
-
operational constraints and employee preferences, within rigorous optimization frameworks. Data science and machine learning: experience with data preparation, feature extraction, and preference learning
-
data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a