Sort by
Refine Your Search
-
Category
-
Country
-
Employer
-
Field
-
Stephenson Building at Newcastle University. International applicants will need to ensure additional funding is secured to bridge the gap in tuition fees. Any successful international applicant will be
-
(WIRe), a prestigious collaboration between Cranfield University, the University of Sheffield, and Newcastle University. The WIRe programme offers bespoke training that hones both technical and personal
-
an interplay between approaches in statistics, geometry and optimization. We offer an interdisciplinary quali-fication program that equips our graduate students with a broad set of skills for analyzing data and
-
programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at The
-
, PowerPoint, Access, Zoom, and Teams. Preferred Qualifications Skills with survey building software such as REDCap and experience with statistical software (e.g., SPSS) and IRB submissions preferred. Equipment
-
Cambridge ESOL). More information is available on universityadmissions.se . Knowledge in statistical analysis, programming, quantitative genetic and breeding theory and Nordic (boreal) forestry are desirable
-
position, Forest Science, Genetics or similar. Knowledge in statistical analysis, programming, quantitative genetic and breeding theory and Nordic (boreal) forestry are desirable Place of work: Umeå Forms
-
remote sensing. A MSc degree, or equivalent is required, in a subject relevant for the project position in, biology, bioinformatics, plant physiology, genetics, or statistics. Applicants must meet certain
-
well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en/organisation/liu/ida You will belong to the Division of Database and Information Techniques (ADIT) within
-
of at least one of the following relevant fields: feminist epistemologies and perspectives from critical data studies; social science fields and methods; or statistical methods, especially as related