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Statistical Learning for Chronosilviculture

Post-doc project Statistical Learning for Chronosilviculture

This project is a part of the IceLab Multidisciplinary Postdoctoral Project Program. It aims to develop statistical learning approaches to understand the role of the circadian clock from genes’ expression to growth, where the explainability and interpretability of our models will be the focus.

Head of project

Jun Yu
Professor
E-mail
Email
Maria Eriksson
Associate professor
E-mail
Email

Project overview

Project period:

2023-02-01 2025-01-31

Participating departments and units at Umeå University

Arctic Centre at Umeå University, Department of Mathematics and Mathematical Statistics, Department of Plant Physiology

Research area

Botany, Mathematics, Statistics

External funding

The Kempe Foundation

External funding

Latest update: 2023-02-14