Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods
-
). The institute also maintains locations in Dedelow and Paulinenaue. Within the DFG-funded project “MEGAFORP – Me chanisms of g ene flow a mong spatially isolated for est herb p opulations in European agricultural
-
: Completed doctoral/PhD studies in ecology or a related field Research competence and initiative proven through international publications in relevant journals Advanced statistical skills and experience with
-
Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
-
; maintain version control and prepares data for submission to public repositories and collaborative networks. Conduct statistical and spatial analyses of ecological and climate datasets. o Implement
-
density of natural enemies to test the hypothesis that these are more abundant on locally common species. Skills and techniques: The project will provide training in spatial statistics, GIS and statistical
-
responsibilities (10%): · Supervising and mentoring research staff, PhD students, or postdocs · Providing guidance, training, and technical support to others in the research team · Ensuring
-
of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine
-
Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams and
-
moss biodiversity and function will change in relation to climate and grazing. This PhD will therefore use the powerful solution of spatial analysis utilising the natural heterogeneity of tundra