Sort by
Refine Your Search
-
Employer
-
Field
-
be a novel experimental methodology for lab UHS studies with the goal of creating the input into reservoir simulators. To be successful you will need: A PhD in Petroleum Engineering or related fields
-
, demonstrated by publications in international peer reviewed journals and a demonstrated ability to secure research funding. A PhD with a focus on geochemistry, or on a topic within a related discipline
-
nearly completed PhD in structural geology, tectonics, rock mechanics and/or experimental modelling of geological processes. An established record of scientific achievements in structural geology and
-
candidate will have: A PhD in quantitative fisheries science, applied statistics or statistical data science Demonstrated experience working effectively with funding bodies and stakeholders Strong programming
-
research by improving disease outcomes for breast and prostate cancer patients. To be successful you will need: A PhD in cell biology, biochemistry, genetics, bioinformatics, computational biology or other
-
discoveries that impact the field of cancer research by improving disease outcomes for breast and prostate cancer patients. To be successful you will need: A PhD in cell biology, biochemistry, genetics
-
, collaboration, excellence and achieving outcomes are valued and enabled About you Essential PhD in a relevant area of cell and molecular biology or neuroscience demonstrated expertise in bacterial culture
-
mathematics, statistics, physics, public-health, psychology, computing or engineering and/or relevant work experience. A PhD is highly desirable, but not essential for the right candidate. Significant
-
oscillations, delta Scuti stars, exoplanets, stellar clusters and associations, and machine learning. We make extensive use of data from NASA’s Kepler,TESS and JSWT Missions, and also have access to ground-based
-
on the ground robot for real-time soil property assessment, providing critical below-ground data to complement above-ground phenotypic analysis develop machine learning algorithms for real-time analysis of plant