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15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
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15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
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sophisticated machine learning models to infer the location of hidden or obscured conductors. You will work in SSEN’s core asset data team, working collaboratively to develop tools and embed techniques to develop
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the groups of Dr Joe Forth, Dr Anthony Bradley, and Project Lead Professor Steve Rannard, applying your expertise in machine learning, cheminformatics, and soft materials to accelerate LAT design and
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researchers to translate models into usable tools and optimize simulation inputs. User Workflows & Interfaces: Develop intuitive interfaces (CLI/APIs) and streamlined workflows for simulations. Machine Learning
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segmentation, target detection and change detection along and across multiannual series of data. Methodologies like foundational models, machine learning, deep learning, multitask learning, enforcement learning
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, Applied Mathematics, or Computational Physics/Chemistry with a strong ML focus. Technical: Deep understanding of Deep Learning (Transformers, GNNs, Auto-encoders). Programming: Proficiency in Python and
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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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) PURPOSE OF CONTRACT: Collaboration in the development of research lines in Machine Learning Collaborator on activities related to the project/agreement stated. JOB LOCATION AND SCHEDULE: Laboratories
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to learn new computer skills, including Microsoft Office (Word and Excel), communication software and CAS (Computer Algebra Systems), html programming to maintain the department web page. UNIX to do routine