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PhD Position in Graph Machine Learning(m/w/x)
Description
You will advance the field of graph machine learning by developing generative models for 3D structures like neurons, while balancing your research with light teaching duties at the center.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master's degree in computer science or related discipline
- •Strong interest in graphs and machine learning
- •Excellent mathematical and programming skills
- •Teamwork skills
- •Knowledge of German as a plus
- •Strong written and spoken English skills
Education
Tasks
- •Conduct research on graph machine learning
- •Develop graph generation models with 3D information
- •Generate shapes for botanical trees and brain neurons
- •Integrate discrete structural decisions with continuous 3D positions
- •Create metrics for complex graph data structures
- •Apply learned heuristics to solve combinatorial problems
- •Design experiments and benchmarks to measure progress
- •Teach for two hours per week during semesters
Tools & Technologies
Languages
German – Basic
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
Other Benefits
- •Self-directed work
Diverse Work
- •Diverse and challenging research
- •Interdisciplinary team
Modern Office
- •Fully-equipped on-site workspace
Startup Environment
- •Integration into ScaDS.AI community
Modern Equipment
- •Access to computing infrastructure
Team Events
- •Access to related events
Learning & Development
- •Training and courses
- Max-Planck-Institut für Kognitions- und NeurowissenschaftenFull-timeTemporary contractOn-siteExperiencedLeipzig
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Senior AI Engineer(m/w/x)
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PhD Position in Graph Machine Learning(m/w/x)
The AI Job Search Engine
Description
You will advance the field of graph machine learning by developing generative models for 3D structures like neurons, while balancing your research with light teaching duties at the center.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master's degree in computer science or related discipline
- •Strong interest in graphs and machine learning
- •Excellent mathematical and programming skills
- •Teamwork skills
- •Knowledge of German as a plus
- •Strong written and spoken English skills
Education
Tasks
- •Conduct research on graph machine learning
- •Develop graph generation models with 3D information
- •Generate shapes for botanical trees and brain neurons
- •Integrate discrete structural decisions with continuous 3D positions
- •Create metrics for complex graph data structures
- •Apply learned heuristics to solve combinatorial problems
- •Design experiments and benchmarks to measure progress
- •Teach for two hours per week during semesters
Tools & Technologies
Languages
German – Basic
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
Other Benefits
- •Self-directed work
Diverse Work
- •Diverse and challenging research
- •Interdisciplinary team
Modern Office
- •Fully-equipped on-site workspace
Startup Environment
- •Integration into ScaDS.AI community
Modern Equipment
- •Access to computing infrastructure
Team Events
- •Access to related events
Learning & Development
- •Training and courses
About the Company
Data Science Center (DSC) - ScaDS.AI
Industry
Science
Description
ScaDS.AI is a national AI Competence Center focused on data science and artificial intelligence, developing service-oriented solutions and cooperating with science and industry.
- Max-Planck-Institut für Kognitions- und Neurowissenschaften
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Full-timeOn-siteExperiencedLeipzig - Max-Planck-Gesellschaft
PostDoc(m/w/x)
Full-timeTemporary contractOn-siteExperiencedLeipzig - XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorfrom 76,000 / yearAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhe