11 postdoctoral-image-processing-in-computer-science PhD positions at University of East Anglia; in Uk
-
affected by tectonic events, overprinting the primary magmatic processes. Complicated geological histories result in modification of the mineral chemistry and rock microstructure. The study area, Bjerkreim
-
(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
-
change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex
-
strong scientific interests and self-motivation. They will have a degree in physics, mathematics, oceanography, meteorology, or a related science with good computing and numerical skills. Entry
-
-on experience in both laboratory and computational approaches, equipping you with a strong skill set for a career in evolutionary genetics, genomics, or bioinformatics. Person Specification This project is ideal
-
chemistry timeseries through a period of rapid sea ice decline, to explore the effect of changes in sea ice extent on ocean CO2 uptake and to investigate climate change impacts on ocean CO2 uptake at Rothera
-
structural variation analysis. Training: You will develop a broad set of skills in computational biology, genetic analysis, bioinformatics, and scientific writing. You will also gain expertise in evolutionary
-
of genomics and bioinformatics, giving the student access to cutting-edge training opportunities in coding, data science and fundamental principles of computational analysis. The student will receive
-
molecular genetic engineering. Scientific Background In all species that lay eggs externally - in nests, ponds, mudpiles, food or other substrates - eggs and young may face unpredictable exposure to harmful
-
genetic adaptations (‘genetic swamping’). Training The student will receive broad training in molecular biology, historical DNA, genomics, bioinformatics and population genetics. The student will take part