Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
, social systems, and biology. Recent work includes evolutionary models of cooperation and methods for learning to cooperate against diverse opponents. Publications: http://garciajulian.com References García
-
Training Program (RTP) Stipend https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details . Be inspired, every day Drive your own
-
Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
-
lectures, tutorials, workshops and seminars, developing subject and course materials, coordinating courses (Level C), and fostering an engaging learning environment for students. Conducting and advancing
-
PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
-
Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
-
testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE Framework Model an AI system that combines reasoning, planning, and self-correction for software engineering tasks
-
We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
-
damage from disease and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development
-
neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis