Fejlesztő programozó állások, munkák kutató kategóriában

• Ensuring the sustainability of community ESM codes, and enabling the adop­tion of modern HPC systems
• Enabling and improving high-performance computing capabilities of ESM codes, including performance optimization

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

Develop and use innovative optimisation and decision analysis methods to model and assess energy transition strategies under consideration of economic, environmental, technical and social criteria...

• 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

• 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...

• Develop and apply frequency comb spectroscopy setups and utilize the existing CARS and QCLAS setups
• Apply the laser diagnostics to measure molecular species in atmospheric pressure plasmas related to plasma catalysis, such as COx, NOx, H2O2.

Develop and use innovative optimisation methods and modelling workflows for energy transition pathways under conflicting interests...

• 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....

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

• 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

• Apply the frequency comb spectroscopy diagnostics to measure molecular species in low pressure plasmas related to industrial processes
• Develop and apply machine learning algorithms for data analysis and data-driven physics-constrained correlation mining

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• 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

Conduct research in automated software engineering, including LLM-based code representation, automatic program repair, and generative AI for test generation. Design next-generation user interfaces and architectures for AI coding agents. Provide technical leadership and collaborate with global R&D...

• Select suitable wave-optical propagation algorithms from in-house or open-source implementations
• Select relevant use cases and appropriate evaluation metrics
• Develop Python code for the evaluation and visualization of various propagation algorithms for selected applications

• 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