Python fejlesztő állások Németországban (oktatás, tudomány, sport)

• Support postdoctoral researchers in conducting numerical simulations related to collaborative learning in wireless networks.
• Assist postdoctoral researchers with hardware demonstrations focused on collaboration and coordination among small radio devices.

• 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 apply THz absorption spectroscopy and cavity-enhanced spectroscopy setups to measure atomic (O, Al) and molecular species (NO) and apply the existing E-FISH setup to measure electric fields in atmospheric pressure plasmas related to plasma catalysis...

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,...

· 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...

· RESEARCH AND DEVELOPMENT: o Design novel orchestration architectures and algorithms for dynamic service placement, migration, and scaling across the cloud-edge continuum. o Devise and evaluate learning-based methods and control-theoretic approaches to balance latency, reliability, energy...

• 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

• 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

In this role, you will support laboratory setup for the protein design team and optimize protocols for cell-free and E. coli-based assays for high-throughput protein characterization. You will help establish and compare different screening methods for their suitability, including assays based on...

• 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