Python állás, munka

• Development of computational linguistic methods for the recognition and interpretation of (multimodal) metaphors
• Exploring the use of deep learning and LLMs for metaphor analysis
• Creation of annotated corpora and datasets
• Collaboration in an interdisciplinary team

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

• Research using behavioral experiments to incentivize consumer flexibility
• Publication (also as co-author)
• Co-supervision of bachelor and master theses (in the context of the project)
• Participation in CoDeF activities
• Academic self-governance

Detailed characterization of pristine HSDP2 samples, as well as samples that have undergone thermal analysis, using a variety of techniques....

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

· RESEARCH AND DEVELOPMENT: o Design and evaluate distributed learning algorithms that operate across heterogeneous nodes, exploring model splitting, collaborative inference, and adaptive training strategies. o Investigate privacy-preserving and energy-efficient learning mechanisms and study the...

• Development and implementation of numerical models for simulating microbial transport in porous media
• Modelling hydrogen conversion by subsurface microorganisms using suitable bio-chemical reaction kinetics models

• Contributing to the development of prototype versions within the framework of the PINEm technology transfer project at KIT
• Participating in meetings with the project and development partners Bilfinger and the University of Leeds, as well as maintaining regular communication with project partners

• Develop and adapt bioinformatics approaches for the analysis of human genomic and epigenomic data sets
• Design and implement analysis workflows for the analysis of long-read whole-genome sequencing and targeted short-read sequencing (hybridization capture, MeDIP-seq) data

• The possibility to learn and implement cutting edge technology
• Interpersonal and interdisciplinary mentorship by experienced PhD-level experts
• Support and mentorship for your academic endeavors / thesis
• A modern working environment enabling hybrid work and remote workdays