170 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Nature Careers in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, dedication, and a passion for making a difference through basic research In addition, we are looking for • Interest in translational immunological research • Ability to work on complex problems in a structured
-
Location: Hamburg Application deadline: 01/21/2026 Helmholtz-Zentrum Hereon operates an outstation at DESY in Hamburg to provide access to highly brilliant synchrotron radiation within its German Engineering
-
sciences, computer science, mathematics, physics, engineering, statistics, or related quantitative fields Strong interest in applying computational methods to biomedical or health-related problems
-
, and imaging technologies, including full access to the technology Hubs by the SyNergy Cluster. These include advanced platforms for high-resolution imaging, multi-omics, and biobanks for human material
-
Industry Fundraiser (f/m/x) 102854 Full time 39 hrs./week Neuherberg near Munich The novel Helmholtz Association-wide Biomedical Engineering Initiative translates groundbreaking research into real
-
natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
-
learn about state-of-the-art and emerging AI methods for clinical applications Your profile An excellent master's degree or a PhD in computer science, software engineering, data science, physics
-
access to the technology Hubs by the SyNergy Cluster of Excellence. These include advanced platforms for single-cell and spatial transcriptomics, high-resolution imaging, multiomics, and neuropathology
-
protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top-tier journal (preprint
-
computing machine-learning innovation in connection with large-scale simulation-based research and observational data conceptual and technical development of data engineering / lifecycle (handling, streams, flows