Bevillingsoversigt | Carlsbergfondet

Bevillingsoversigt

Bevillingsoversigt manchet

2019 kr. 1.800.000

Johan Peter Uldall Fynbo

Titel og grad:

Professor, PhD

Institution:

University of Copenhagen

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

NOT Transient Explorer: Eksploderende stjerner og gigantiske sorte huller i Universet

2019 kr. 468.000

Anders Garm

Titel og grad:

Associate Professor, PhD

Institution:

University of Copenhagen

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

Light up to be eaten

2019 kr. 400.000

Marianne Glasius

Titel og grad:

Associate Professor, PhD, Master of Science

Institution:

Aarhus University

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

Probing nanoparticle chemistry with efficient, time-resolved sampling

2019 kr. 480.000

David E. Gloriam

Titel og grad:

Professor, Ph.D

Institution:

University of Copenhagen

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

Elucidation of GPCR-G protein selectivity by cryo-electron microscopy

2019 kr. 1.403.000

Thomas Greve

Titel og grad:

Associate Professor, PhD

Institution:

DTU Space

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

GISMO and the Greenland Telescope - A new Window to the Universe.

2019 kr. 556.313

Fane Groes

Titel og grad:

Associate Professor, PhD

Institution:

Copenhagen Business School

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

Labor Market Sorting: Identification and Implications

2019 kr. 400.000

Martin Gustavsson

Titel og grad:

Assistant Professor, PhD

Institution:

University of Copenhagen

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

Uncovering the structural basis for RAMP regulation of G protein-coupled receptors

2019 kr. 270.000

Sine Reker Hadrup

Titel og grad:

Professor, PhD

Institution:

Technical University of Denmark

Bevillingstype:

Forskningsinfrastruktur

Projektnavn:

Application for the funding of Viaflo Assist PLUS. This instrument will assist in the labor-intensive pipetting, performed by researchers in the entire group, with vast importance to reduce variance between experiments.