Python developer állások Németországban (kutató)

• 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

• 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

• Maintain and develop the ocean biogeochemical model code of the HAMOCC model
• Coordinate integration of new process representations developed across multiple projects
• Establish and maintain software quality standards, testing procedures, and documentation

• Design, implement, and analyse high- and low-resolution ocean simulations based on the ICON modeling framework
• Explore parameter and structural uncertainties in the model affecting biogeochemical processes
• Develop workflows for systematic model evaluation and benchmarking

We are looking for an enthusiastic PhD student to join our Integrated Cancer Research Laboratory at the CECAD Research Center in Cologne. The position is part of a newly funded project that aims to build and design digital twins for patients with cancer. The project builds on one of the largest and...

• Conduct molecular and cellular biology experiments within ongoing research projects.
• Independently plan, perform, document, and evaluate laboratory experiments.
• Contribute to the development and implementation of organoid-based experimental models.

• 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

• Screen and summarize scientific literature
• Develop prototype setups through simulation and experimentation
• Test hypothesis by planning and carrying out measurements
• Develop and implement algorithms to interpret sensor data
• Present your results at regular intervals
• Document your findings

• 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.

In this PhD project, you will investigate neural 3D scene representations, including neural radiance fields, Gaussian splatting, and implicit occupancy models, and adapt them to the unique challenges of in-cabin perception. Unlike exterior environments, where a moving sensor observes a largely...

• 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

Support of user experiments from academia and industry, in particular (but not limited to) those employing small-angle X-ray scattering...

• Design and conduct longitudinal analyses linking autonomic measures (cardiac vagal control, sympathetic activity) to health, brain, and molecular biomarkers.
• Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts.

• Developing a transformer-based neural network for the processing of NMR spectra
• Creating datasets from existing experiments within the CRC and from your own experiments, which are to be carried out during a research stay at KIT's Institute of Microstructure Technology (IMT)

• Design and conduct longitudinal analyses linking autonomic measures (cardiac vagal control, sympathetic activity) to health, brain, and molecular biomarkers.
• Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts.

In this PhD project, you will explore new approaches for creating the next generation of efficient autonomous decision-making systems....

Provide scientific leadership for AI-powered computational pathology and multimodal biomarker development across AstraZeneca's Oncology and/or BioPharmaceuticals portfolio, delivering biomarkers that support patient selection and translational decision-making from target validation through clinical...