Python programme állások, munkák kutató kategóriában

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Conduct research and publish findings on the neural foundations of affective and cognitive processes in social and work-related contexts
• Design and implement multimodal studies (EEG, fNIRS, eye tracking, physiology), including hyperscanning setups

We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary project at the intersection of biomedical informatics, semantic technologies, and large language models (LLMs). The position is embedded in the MIRO-LLMs initiative (Helmholtz Metadata Collaboration), which...

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Development of new ultrasound- and MRI-based elastography techniques for the quantitative investigation of tissue mechanics
• Development and optimisation of algorithms for image reconstruction and data analysis

• Investigation of the neuronal mechanisms of cognitive control using EEG data
• Analysis of dynamic EEG states as markers of adaptive behavior
• Exploration of the interplay between neuronal oscillations across time and frequency domains
• Investigation of directed information flow between brain regions

• Express, purify and assemble multimeric protein complexes for structural studies (e.g., using the MultiBac and MultiMam systems)
• Biochemically characterize protein complexes, prepare, and image cryo-EM samples

• Development of software tools for analysis of measurement data from the photon diagnostic devices.
• Support data analysis with the objective of characterizing the X-ray beam and calculate SASE spectral information based on the acquired data.
• Support group with hardware and cable assembly.

• Implementing and evaluating state-of-the-art quantum algorithms (e.g., QAOA, VQE, quantum annealing or others) for an optimization problem in the scope of optical systems
• Implement prototypes and demonstrators to evaluate quantum-enhanced optimization concepts for ZEISS applications