Junior python developer állások Németországban (oktatás, tudomány, sport)

• Preprocess large-scale neuroimaging data in patients with neurodegenerative diseases
• Apply network neural mass models to the resulting neuroimaging data
• Create advanced statistical models linking neuropsychology and neuroimaging data
• Apply control theory to the resulting models

• Preprocess large-scale neuroimaging data of healthy participants
• Apply network neural mass models to the resulting neuroimaging data
• Enhance parameter inference through Bayesian inference and deep neural networks

• Design and implementation of experiments investigating statistical learning and predictive processing using intracranial EEG and intracortical microstimulation in human epilepsy patients
• Analysis of intracranial electrophysiological recordings using modern computational and statistical approaches

- 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 Focus: Investigate the interaction between topic properties (e.g., question difficulty, diagnosticity of evidence) and social dynamics (network topology, communication norms)....

• Participation in the execution and organization of research projects
• Guided, but also independent execution of experimental research work in the aforementioned subject area, from programming experimental setups, data acquisition, and data analysis, to the dissemination of the results

Conducting mathematical research in one of the above-mentioned subfields. Developing software packages to support the research project. Publishing research results and presenting them at conferences Contributing to teaching activities and, if required, supervising student assistants. ...

Design, implementation, and maintenance of workflows for data processing, instrument control, as well as data transfer and storage for continuous atmospheric monitoring devices....

• design, construction and commissioning of a new Penning trap mass spectrometer,
• the application of state-of-the-art cryogenic detectors for the detection of individual particles in the traps and in the beam line,

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• 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

• 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