Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
for (Selection Criteria): Essential: PhD in Soil Science, Environmental Science, or closely related field. We will also consider candidates who have completed their PhDs and are awaiting conferral
-
creates new knowledge by synthesising these two approaches through advanced statistics. This exciting PhD project is one of two PhD projects within PAST. As a PhD candidate, your goal is to develop
-
Research Technician (Temporary) Posting Number req24901 Department Sch of Nat Resource&Enviro-Res Department Website Link https://snre.arizona.edu/ Location Main Campus Address 1064 E Lowell Street, Tucson
-
fish larvae. Although the importance of drift is well established, many of its underlying dynamics—particularly its spatial and temporal variability—remain poorly quantified. This knowledge gap largely
-
ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
-
postdoctoral researcher, who focuses on the data-driven development of micromagnetic modelling tools, as well as with a PhD candidate focusing on the paleomagnetic information stored in (statistical) ensembles
-
at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to tarmo.soomere@taltech.ee CV Motivation letter Degree certificates as required by the university
-
learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using
-
. The content of the research activity: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network
-
in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological