90 knowledge graph PhD positions

PhD position in Discrete Mathematics

substructures in large systems such as graphs, hypergraphs, integer sequences, and set families. Extremal graph and hypergraph theory: the study of the maximum number of edges of graphs and hypergraphs avoiding

PhD Position in AI-Assisted Generation of High-Level Models and Simulators for Hardware Design

(ML) such as Graph Neural Networks [3], and compilation flows such as MLIR [4], in the field of electronic design automation (EDA). The expected result is a complete flow for the automatic generation

PhD position (all genders) in AI for biomedical data analysis

data, in conjunction with graph, transformer, and diffusion models, you will help us understand and treat immune-related maladies. Together with clinical disease experts, you will translate your findings

PhD student position in digital pathology

learning to continue this work with respect to both technical methods development and towards prospective validations in clinical trials. The candidate is expected to absorb necessary knowledge on cancer

Research Assistant/Associate in Data Science (Fixed Term)

research. The post holder will provide technical expertise to address the specific project needs through analysing the structure of databases using knowledge graphs and graph algorithms. This will create a

PhD Position at University of Paris-Saclay in Neuro-symbolic Artificial Intelligence

, or knowledge graphs. A neural-symbolic integration framework will be used to combine the two parts so that they can share information and improve each other's performance. The framework will be made in a way

FAIROmics - PhD fellowship in integrative bioinformatics and systems biology - From sequence to strain-specific phenotypes.

knowledge graphs for data-driven decision-making to rationally design microbial communities for imparting desirable characteristics to plant-based fermented foods in the context of open science and its

PhD student in Structural elucidation of chemcials from mass spectrometry

empirical analytical information, such as fragmentation spectra, retention time, and collision cross-sections. For this purpose, different graph-based generative AI models such as graph generative adversarial

Doctoral researcher (PhD candidate) in Computer Science

disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in. The Research Group of Prof. Dr. Volker Müller

PhD Neural Principles of Multi-Sensor Vision Systems in Rail Safety Applications

candidate will be part of an interdisciplinary team of researchers from computer science and industry. The candidate should have good programming skills, knowledge in machine learning, an interest in relevant