Python fejlesztő állások Németországban főiskolai végzettséggel

• You will build 3D geometry models representing real-world Automotive Radar & ADAS scenarios
• You will run electromagnetic simulations using the Asymptotic Solver in CST Studio Suite and analyze KPIs

The main task is to conduct high-quality and independent research on collaborative learning in wireless networks. The research addresses fundamental challenges related to efficiency, adaptability, and system performance. The objective is to develop learning algorithms and to analyze their behavior...

• Develop optical measurement technologies for calibration and performance characterization of innovative long-wave infrared (LWIR) sensors
• Design calibration methods for LWIR sensors under various stimuli and environmental conditions in a state-of-the-art lab environment

■ Conduct experimental work in a team of researchers. ■ Modify existing test rigs and conduct measurements. ■ Implement and develop models and features within a multi-phase numerical simulation tool. ■ Perform CFD simulations of metal-fuel processes. ■ Post-process and analyze data. ...

• Develop computer vision models to analyze surgical videos, including action recognition, instrument usage, and relevant interactions
• Build and annotate a suitable dataset in close collaboration with other project staff; develop annotation and quality-assurance tools

• 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...

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

• 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

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• 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

YOUR TASKS: Tasks to be performed: Realisation of the open-source SFB computational platform based on OpnFOAM in collaboration with projects C6 and C7 Integration and further development of input/output and specific pre-/post-processing functionalities, also in form of a Graphical User Interface...

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

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,...

• Evaluation of different technologies in the field of cellular, NB-IoT and sub giga based communication standards
• Support the selecting process for MEMS and IMU's with focus on ultra-low power use cases

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

· 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...

• Conceptual and operational support in building and maintaining the MB.OS Portfolio Backlog
• Data evaluation and quality analysis of planning elements in Jira, including creating and using dashboards
• Support in organizing and conducting MB.OS Portfolio planning conferences
• Preparation of presentations

• Propose innovative methods to abstract EVCC functionality, transforming it from a hardware-dependent system to a flexible software component.
• Collaborate closely with our internal and external engineering partners to implement and integrate the software component into a rapid prototyping environment.