Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Australia
- Singapore
- Canada
- France
- Switzerland
- Austria
- Spain
- Sweden
- Denmark
- Netherlands
- Poland
- Belgium
- Hong Kong
- China
- Finland
- Italy
- Japan
- Morocco
- United Arab Emirates
- Malta
- New Zealand
- Portugal
- Saudi Arabia
- Czech
- Egypt
- Andorra
- Brazil
- Croatia
- Luxembourg
- Norway
- Romania
- Slovenia
- South Africa
- 26 more »
- « less
-
Program
-
Field
-
. Strong applied knowledge of classical machine learning algorithms, including implementation with scikit-learn, model evaluation using metrics such as accuracy, precision, recall, F1-score, and
-
on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
-
Estimation. The research includes the following activities: • Develop algorithms and research directions to improve state estimation of polar ice caps (Greenland/Antarctica) • Calibration/Validation of high
-
range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level
-
. Integrate various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
-
analysis, and algorithms of computational research questions at a level sufficient to converse with Princeton's world-class researchers to support the ongoing work. This will consist of independent research
-
, network, or systems solutions. Design and implement modern algorithms (coding) Position Status Full Time Posting Number 25FA0234 Posting Open Date Posting Close Date 01/05/2026 Qualifications Minimum
-
of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
-
algorithms, bioinformatics, computer vision, human-computer interaction, machine learning, computer graphics and VR, cyber-physical systems, computer networking, and cybersecurity. Required materials include a
-
advanced deep learning algorithms for generative modelling and large multimodal models. Candidates are expected to have a strong background in relevant areas Job Responsibilities: To independently undertake