Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial
-
) (Dr. Simpson’s webpage). The original call for the solicitation can be found here: https://www.energy.ca.gov/solicitations/2025-02/gfo-24-307-advancing-designs-and-analysis-high-voltage-direct-current
-
, integration, and validation for environmental and forest monitoring. Familiarity with remote sensing, cartography, and spatial data analysis using specialized software and tools will be considered a significant
-
. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
-
turbines. Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modelling, physical testing, or probabilistic
-
2 Jan 2026 Job Information Organisation/Company Universidade da Madeira Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application
-
transitions. Where to apply Website https://www.academictransfer.com/en/jobs/357634/full-professors-in-architectura… Requirements Specific Requirements Motivated researcher, with a PhD in Architecture, or a
-
a global leader in research. The School of Infection and Immunity https://www.gla.ac.uk/schools/infectionimmunity/ is driving innovation in immunology, parasitology and infectious disease, a combined
-
the full benefit from the network training As secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu
-
the Laboratory of Geo-information Science and Remote Sensing is an interdisciplinary research group focused on integrated approaches to geospatial systems analysis. Our work applies a complex adaptive systems