Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
-
models, spatial Bayesian methods, case time series, case crossover. Have experience with the management and analysis of large climate and/or health databases. Have experience with Linux environment and
-
tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and
-
knowledge of German • Full endorsement of current open science practices (e.g., interest in designing and preparing one of the PhD papers for journal submission as a Registered Report, see https
-
: https://ki.se/en/cmb/enric-llorens-group Duties We are seeking a talented and enthusiastic postdoctoral fellow to apply cutting-edge single-cell and spatial genomics approaches in combination with
-
commitment to growing with us. Your Tasks Expertise and Methodological Development Establish, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data
-
for the PhD admission is available 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
-
/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
-
to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
-
to the fundamentals and algorithms of spatially and time-multiplexed oscillator-network computing. Duties The PhD student will focus on the fundamentals and algorithms for spatially and time-multiplexed oscillator