Sort by
Refine Your Search
-
, method-driven theory to application-driven research. Please find more information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your tasks in detail: Review existing literature, collect
-
, participants have the opportunity to gain first-hand experience of the German parliamentary system and political decision-making processes. The core element is a one-week work placement with a Member of the
-
Your Job: 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
-
that shape the pace of aging Dario Riccardo Valenzano - Evolutionary Origins, Diversification, and Activity of Transposable Elements During Aging Claudia Waskow - Mechanisms of T cell immune aging in mice
-
Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired, method-driven theory to application-driven research. Please find more
-
Jülich, which is dedicated to pushing the boundaries of data science theory and application. Our research spans from use-inspired, method-driven theory to application-driven research. Please find more
-
Infrastructure? No Offer Description Work group: IAS-6 - Theoretical Neuroscience Area of research: PHD Thesis Job description: Your Job: This PhD project bridges between classical analytical methods and modern AI
-
Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
-
from Wastewater“ Would you like to learn the basics of efficient recycling methods as part of a PhD study, with a focus on the sustainable use of natural resources? If so, the PhD Graduate School WERA
-
-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow