Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
expanding its focus to space-based missions. We are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we
-
Identifying novel regulators of colorectal cancer invasion School of Biosciences PhD Research Project Self Funded Dr Kyra Campbell Application Deadline: Applications accepted all year round Details
-
/or peer-reviewed journals Required Knowledge, Skills, and Abilities: PhD in Computational Physics, Chemistry, Materials Science, Computer Science/Engineering, Applied Mathematics, or a related field
-
, the system and associated algorithms will be assessed for neurodegeneration mapping in Alzheimer’s disease brain organoids. In parallel, the technology and algorithms will be applied to fish health research
-
advanced genome-editing tools. In parallel, we develop in-house sequencing technologies to dissect epigenetic and epitranscriptomic modifications at the molecular level, along with high-throughput platforms
-
(LIG), a 450-member laboratory with teaching faculty, full-time researchers, PhD students, administrative and technical staff. The mission of LIG is to contribute to the development of fundamental
-
programme at the Faculty of Humanities and education. More information is to be found here (in Norwegian): https://www.uia.no/studier/program/phd-program-i-humaniora-og-pedagogikk/ Required qualifications
-
optical spectroscopies. In parallel, various science outreach activities will also be developed. Workplace: The work will be developed at the research group Cultural Heritage and Responsive Materials
-
Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
-
-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources