-
for Energy Materials” in cooperation with partners from academia and industry from several European countries. Your tasks in detail: Conduct cutting-edge research to develop and validate advanced AI
-
hydrogen energy sector. Your Job: Conduct cutting-edge research to develop and validate advanced AI methodologies for the characterization, modeling, and simulation of energy materials. Develop code and
-
implementation of the new HClimRep foundation model, Assist the HClimRep team with testing and improving the HClimRep model, Develop a concept of software package of hydrological downscaling based on the HClimRep
-
colleagues and pursuing sports alongside work Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking
-
considering the potential to apply these methods to different domains. Specifically, you will: Develop, implement and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL
-
education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs Targeted services
-
membranes. You will develop theoretical models and employ computational methods to describe the coupling between ionic nanofluidics, electric double-layer charging, and interfacial reactivity in electrolyte
-
Your Job: Join the EU funded SAGELi project to develop and advance battery chemistries by introducing new functionalities into an existing battery technology to achieve ultra-high performant
-
Continuous mentoring from your scientific supervisor 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between Christmas and New Year) Opportunity to develop your
-
Your Job: Develop techniques to simulate and control the dynamics of diamond-based spin systems (e.g., NV centers) Find parameter regimes and control schemes to map few or many-body Hamiltonians