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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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Your Job: The PhD project at the IBG-3 at Forschungszentrum Jülich will be part of the DFG Research Unit Fast and Invisible: Conquering Subsurface Stormflow through an Interdisciplinary Multi-Site
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https://www.fz-juelich.de/en/careers/jobs/2026D-021 Requirements Additional Information Website for additional job details https://www.fz-juelich.de/en/careers/jobs/2026D-021 Work Location(s) Number
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Your Job: As a PhD candidate you will Use state-of-the-art methods to conduct gas- and aerosol-phase measurements, including the characterization and operation of an NH4+/H3O+ chemical ionization
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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and data analysis Your Profile Master's degree in chemistry, physics, or related fields Excellent communication skills and ability to work in a team are essential Very good command of written and spoken
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Your Job: Possible doctoral research topics: Designing processes and plants for the synthesis and use of chemical hydrogen storage Integration of chemical hydrogen storage systems into industrial
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, data analysis, or modeling is an advantage Very good written and spoken English, German is an advantage Willingness to work in an interdisciplinary manner in an international research team Independent
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of denoising algorithms and incorporation into PET image reconstruction Data and image analysis. Writing scientific publications and participating in international conferences. Developing professional algorithm
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation