21 phd-statistics Postdoctoral positions in Canada

Postdoctoral research fellow focused on generative modelling of synthetic cohorts in brain research

into account. Qualifications Requirements: PhD degree in engineering, bioinformatics, statistics, computer science, mathematics, computational biology, or a related discipline. This requirement needs to be met

Postdoctoral Researcher

assessments of biodiversity status and trends; 3) deploy statistical and geospatial analysis tools to produce an integrated monitoring network design and sampling strategy to complement existing monitoring

Postdoctoral research fellow focused on proteomics in neurodegenerative diseases

into account. Qualifications Requirements: Completed PhD in engineering, bioinformatics, genetics, statistics, computer science, mathematics, computational biology, or a related discipline Good knowledge

Postdoctoral research fellow in clinical memory research

into account. Qualifications Requirements: Completed PhD in engineering, bioinformatics, genetics, statistics, computer science, mathematics, computational biology, or a related discipline Good knowledge

Postdoc position: Spatial patterning and community assembly across the tundra biome

of ecology, remote sensing, environmental sciences, data science, mathematics or statistics with excellent English language skills. The aim of RESILIENCE is to fundamentally advance our understanding and

Post Doctoral Fellow – “A Safe Affordable Place to Call Home”

on qualitative and statistical methods, including national analysis of the Canadian Housing Survey, to actively inform public debate and real-time decision-making in Saskatchewan and Canada. The Fellow will be

Postdoc position: Spatial patterning and community assembly across the tundra biome

to address the larger project goals. Minimum Qualifications A PhD degree in ecology, remote sensing, environmental sciences, data science, mathematics, statistics or a related field Strong quantitative skills

Postdoc position: Spatial patterning and community assembly across the tundra biome

Qualifications A PhD degree in ecology, remote sensing, environmental sciences, data science, mathematics, statistics or a related field Strong quantitative skills including ecological data analysis, statistical

Post-doctoral position in comparative study of reward learning, stress and psychedelics- McGill University

the neural processing of reward. The candidate must have a PhD in computational neuroscience, psychology, cognitive science or a quantitative discipline as well as fluency in Matlab or Python and experience in

Postdoc position: Spatial patterning and ecological resilience across the tundra biome

of ecology, remote sensing, environmental sciences, data science, mathematics or statistics with excellent English language skills. The aim of RESILIENCE is to fundamentally advance our understanding and