Grants overview

2019 kr. 2.332.015

Jens Frydenvang

Title and degree:

PhD

Institution:

University of Copenhagen

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

Life on Mars? Exploring Gale and Jezero

2018 kr. 1.170.342

Mahboobeh Amoushahi

Title and degree:

Postdoctoral Fellow, PhD

Institution:

Aarhus University

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

The effect of reactive oxygen species production on regulation of ovarian follicular activation

2018 kr. 589.000

Lau Møller Andersen

Title and degree:

Postdoctoral Fellow, PhD

Institution:

Aarhus University

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

The cerebellar clock: predicting the present

2018 kr. 1.219.412

Elisabeth Machteld Biersma

Title and degree:

Postdoctoral Fellow, PhD

Institution:

University of Copenhagen

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

The Evolutionary History of the Greenlandic Flora

2018 kr. 1.186.900

Espen Drath Bøjesen

Title and degree:

Postdoctoral Fellow, PhD

Institution:

Monash University

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

The Best of Both Worlds – Combining the Strengths of Electrons and X-rays

2018 kr. 1.179.000

Christian Damsgaard

Title and degree:

Postdoctoral Fellow, PhD

Institution:

Aarhus University

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

A Bird's Eye Perspective on Eye Evolution

2018 kr. 1.136.823

Myriam Fezai

Title and degree:

PhD

Institution:

University of Copenhagen

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

Role of the KCNE5 channel protein in the neurophysiology

2018 kr. 1.224.983

David Alejandro Duchene Garzon

Title and degree:

Postdoctoral Fellow, PhD

Institution:

University of Copenhagen

Grant type:

Carlsbergfondets postdoc-stipendier i Danmark

Project title:

The evolutionary history of birds lies in their genes: extracting historical information from genome-scale data