Student web

For doctoral students

Doctoral students need relevant information about the educational process during their training. Here is a list of web pages of various kinds, including news and events, considered to be of interest to a doctoral student.

This page is a supplement to the page Doctoral student support, on the staff web.


Det finns 247 sidor som är taggade med For doctoral students:
Statistics IV: Generalized Linear Models, 4 hp

Statistics IV: Generalized Linear Models, 4 hp

Statistics IV: Generalized Linear Models, 4 hp hilda.edlund@slu.se The Ph. D. course Statistics IV: Generalized Linear Models, 4 hp, will be given in Umeå. Prior knowledge Statistics III:

Consultancy

Questions on statistical issues? Hard-to-understand comments on statistics from a reviewer? You have come to the right place! Statistics@SLU provides all employees at SLU free statistical

Workshop on Machine Learning (with categorical response variables) using R

Workshop on Machine Learning (with categorical response variables) using R

Workshop on Machine Learning with categorical response variables hilda.edlund@slu.se The term machine learning hides a variety of different statistical methods. The basic aim of these methods is to

Workshop on Machine Learning (with continuous response variables) using R

Workshop on Machine Learning (with continuous response variables) using R

Workshop on Machine Learning with continuous response variables hilda.edlund@slu.se The term machine learning hides a variety of different statistical methods. The basic aim of these methods is to

Workshop on Machine Learning (with categorical response variables) using R

Workshop on Machine Learning (with categorical response variables) using R

Workshop on Machine Learning with categorical response variables hilda.edlund@slu.se The term machine learning hides a variety of different statistical methods. The basic aim of these methods is to

Workshop on Machine Learning (with categorical response variables) using R

Workshop on Machine Learning (with categorical response variables) using R

Workshop on Machine Learning with categorical response variables hilda.edlund@slu.se The term machine learning hides a variety of different statistical methods. The basic aim of these methods is to

Workshop on using Markdown and R

Workshop on using Markdown and R

Workshop on using Markdown and R hilda.edlund@slu.se Markdown allows you to create reproducible, dynamic reports. Using R-Studio it is possible to document your R code, execute it and present the

Workshop on using Markdown and R

Workshop on using Markdown and R

Workshop on using Markdown and R hilda.edlund@slu.se Markdown allows you to create reproducible, dynamic reports. Using R-Studio it is possible to document your R code, execute it and present the

Workshop on using Markdown and R

Workshop on using Markdown and R

Workshop on using Markdown and R hilda.edlund@slu.se Markdown allows you to create reproducible, dynamic reports. Using R-Studio it is possible to document your R code, execute it and present the

Seminar: Challenges and opportunities for analysis of omics data

Seminar: Challenges and opportunities for analysis of omics data

Seminar: Challenges and opportunities for analysis of omics data hilda.edlund@slu.se Aakash Chawade, Dept of Plant Breeding, SLU, is presenting Challenges and opportunities for analysis of omics

About Spira Research School - LTV

Welcome to Spira the Research School for Landscape Architecture, Horticulture and Crop Production Sciences! Spira is a research school within the Faculty of Landscape Architecture, Horticulture and

Seminar: Spectral data from proximal sensors for analysis of soil properties

Seminar: Spectral data from proximal sensors for analysis of soil properties

Seminar: Spectral data from proximal sensors for analysis of soil properties hilda.edlund@slu.se Bo Stenberg & Johanna Wetterlind, Dept. of soil and environment, is presenting Spectral data from

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