Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and potentially epigenomic endpoints (e.g., chromatin accessibility). Thereafter, the research scientist will carry out both basic and complex statistical analyses of the data, including characterizing
-
Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
-
Description We are seeking a motivated new PhD candidate or Postdoctoral fellow who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between
-
datasets. Conducting extensive independent statistical and spatial analyses to support research objectives. Drafting grant proposals and contributing to the development of new research proposals
-
of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
-
Person Specification Essential PhD or equivalent in hydrology, water resources, environmental sciences, or quantitative disciplines (e.g. maths, statistics, computing). Postdoctoral or equivalent applied
-
cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
-
-seq, ATAC-seq, spatial transcriptomics, …) into modeling and develop efficient data/training pipelines Drive application cases with Helmholtz Munich, MDC Berlin, and NVIDIA—for example, disease modeling
-
. The diffusive frequency ω_ν, introduced for the first time within this framework, is a statistical variable related to the characteristic temporal width of wavefronts. Since the variables T_m and E_∞ can be
-
approaches including flow cytometry, spatial proteomics, transcriptomics, confocal microscopy and biochemical assays. Utilize mouse models and patient-derived samples to explore how genetic and dietary factors