Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Portugal
- Netherlands
- Germany
- France
- Sweden
- Spain
- Belgium
- Denmark
- Norway
- Italy
- Singapore
- Finland
- Australia
- Morocco
- Switzerland
- Czech
- Poland
- United Arab Emirates
- Canada
- China
- Ireland
- Luxembourg
- Austria
- Romania
- Japan
- Estonia
- Hong Kong
- Brazil
- Vietnam
- Andorra
- Bulgaria
- Croatia
- Greece
- Hungary
- Lithuania
- Malta
- Saudi Arabia
- Slovenia
- 30 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Environment
- Business
- Psychology
- Humanities
- Linguistics
- Physics
- Arts and Literature
- Electrical Engineering
- Law
- Social Sciences
- Education
- Philosophy
- Sports and Recreation
- Statistics
- 14 more »
- « less
-
Familiarity with cleaning and managing large datasets. Strong writing skills. Preferred Qualifications Statistical skills applying artificial intelligence and data science for societal benefit in predictive
-
, but also to develop approaches to prevent damage. In the project we aim to develop a numerical model to predict root growth. Your task as a Postdoc researcher is to develop a measurement and monitoring
-
analytical tools, coupled with advanced crop modelling techniques so to evaluate the effectiveness and predict outcomes of various crop production strategies. To develop a strategic vision of the agricultural
-
programming and analytical skills (including R, Python, and SAS or Stata) · Experience with Medicare claims data · Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive
-
an intelligent and predictive monitoring system for telecommunications tower infrastructures. The proposed solution will use information collected through specific sensors installed on the infrastructures, which
-
: develop reduced-order, physics-informed surrogate models for predicting far-field communication quality metrics (e.g. RSSI, SINR) in urban IAM scenarios enable real-time, on-board estimation of radio
-
of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
-
. The models will be used to predict dynamic responses to stressors, sleep disruptions, and diagnostic tests, as well as the long-term changes that occur during disease. A key challenge of your work will be
-
well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
-
modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties