Sveriges lantbruksuniversitet

Doctoral education

A programme consisting of four years' full-time study and 240 credits, which leads to a doctorate. A licentiate degree consists of 120 credits and two years' full-time study. In order to be accepted for doctoral studies, you must have completed basic university education, with at least one year at second-cycle level. A doctoral student gains a deeper insight into their subject in their doctoral studies. A doctoral thesis constitutes at least 120 credits of doctoral studies (80 for a licentiate degree).


Det finns 429 sidor som är taggade med Doctoral education:
Karl Adler

Karl Adler

When we talk about the agriculture of the future that should be sustainable, precision agriculture is an important part of the solution; doing the right thing at the right time at the right place

Animal ethics

This course gives an overview of differences between ethics and legislation, elements in ethical argumentation, relation between animal science and animal ethics, description of normative ethical

Disp Bing Liu

Disp Bing Liu

Dissecting Function and Catalytic Mechanism of Fungal Lytic Polysaccharide Monoxygenases maisam.ali@slu.se Bing Liu defends his thesis "Dissecting Function and Catalytic Mechanism of Fungal Lytic

Disp Bing Liu

Disp Bing Liu

Dissecting Function and Catalytic Mechanism of Fungal Lytic Polysaccharide Monoxygenases maisam.ali@slu.se Bing Liu defends his thesis "Dissecting Function and Catalytic Mechanism of Fungal Lytic

Ph.D. course: Statistics II - Experimental Design and ANOVA

Ph.D. course: Statistics II - Experimental Design and ANOVA

Statistics II: Experimental Design and ANOVA, 4 hp The Ph.D. course will be given in Uppsala 1 November - 3 December 2019. Prerequisites: Statistics I or equiv. Objective, including learning

Ph.D. course Statistics III: Regression analysis

Ph.D. course Statistics III: Regression analysis

Statistics III: Regression analysis, 4 hp The Ph.D. course will be given in Uppsala 13 January - 14 February 2020. Prerequisites: Statistics I or equiv. Objective, including learning outcomes The

Ph. D. course Statistics I

Ph. D. course Statistics I

Statistics I: Basic statistics, 4 hp The Ph.D. course will be given in Uppsala 7 - 31 October 2019. Prerequisites: None Objective: The objective of the course is to give an introduction to basic

Ph.D. course Statistics III: Regression analysis

Ph.D. course Statistics III: Regression analysis

Statistics III: Regression analysis, 4 hp The Ph.D. course will be given in Uppsala 13 January - 14 February 2020. Prerequisites: Statistics I or equiv. Objective, including learning outcomes The

Ph.D. course Statistics III: Regression analysis

Ph.D. course Statistics III: Regression analysis

Statistics III: Regression analysis, 4 hp The Ph.D. course will be given in Uppsala 13 January - 14 February 2020. Prerequisites: Statistics I or equiv. Objective, including learning outcomes The

Ph.D. course: Statistics II - Experimental Design and ANOVA

Ph.D. course: Statistics II - Experimental Design and ANOVA

Statistics II: Experimental Design and ANOVA, 4 hp The Ph.D. course will be given in Uppsala 1 November - 3 December 2019. Prerequisites: Statistics I or equiv. Objective, including learning

Ph.D. course: Statistics II - Experimental Design and ANOVA

Ph.D. course: Statistics II - Experimental Design and ANOVA

Statistics II: Experimental Design and ANOVA, 4 hp The Ph.D. course will be given in Uppsala 1 November - 3 December 2019. Prerequisites: Statistics I or equiv. Objective, including learning

Ph. D. course Statistics I

Ph. D. course Statistics I

Statistics I: Basic statistics, 4 hp The Ph.D. course will be given in Uppsala 7 - 31 October 2019. Prerequisites: None Objective: The objective of the course is to give an introduction to basic

Loading…