16 May 2018, 15:15
"Nothing" exists better with deep learning
|11 April 2018, 15:15 Lundmarksalen||Fluid instability in the particle stream of dilute-gas flow: experiments in connection with planetesimal formation|
Holly Capelo (Göttingen)
|14 March 2018, 15:15 Lundmarksalen|
Colors in QCD
28 February 2018, 15:15
How does the culture of physics affect the physics teacher education?
|8 November 2017, 15:15 |
Left-Right-Colour-Family unification and possible low-energy consequences
|4 October 2017, 15:15 Lundmarksalen||Laboratory and theoretical atomic spectroscopy for stellar applications|
13 September 2017, 15:15
Systems biology in soil: Modeling degradation of soil organic matter by a mycorrhizal fungus
|26 April 2017, 15.15 |
| Looking at the invisible — Searching for Dark Matter Production at the LHC |
Ruth Pöttgen (Dept of Physics)
|1 March 2017, 15.00 |
Phantom of the Universe — The hunt for Dark Matter (planetarium show)
|30 November 2016, 15.15 |
Using "Deep Learning" to analyse interactions between donor and recipient DNA that determine early and late heart transplant failure
|2 November 2016 , 15.15 |
The flavor puzzle and symmetries: tips for a successful marriage
|14 September 2016, 15.15 |
The first release of astrometric and photometric data from ESA's Gaia mission (pdf)
| 4 May 2016, 15.15 |
Computational models for cell reprogramming (pdf)
Embryonic stem cells (ESC) have the capacity to self-renew and remain pluripotent, while continuously providing a source of a variety of differentiated cell types. Understanding what governs these properties at the molecular level is crucial for stem cell biology and its application to regenerative medicine. Of particular relevance is to elucidate those molecular interactions, which govern the reprogramming of somatic cells back into stem cells. A few central transcription factors inside embryonic stem cells and reprogrammed stem cells (induced pluripotent stem (iPS) cells) are believed to control the cells' pluripotency. Characterizations of pluripotent state were put forward on both transcription factor and epigenetic levels. Whereas core players have been identified, it is desirable to map out gene regulatory networks, which govern the reprogramming of somatic cells as well as the early developmental decisions.
A computational approach can be used as a framework to explore the dynamics of a simplified network of the pluripotent cells with the aim to understand how stem cells differentiate and also how they can be reprogrammed from somatic cells. In this talk, I present computational models for core stem cell gene regulatory network, which shed light on regulatory mechanisms governing pluripotency acquisition through reprogramming.
| 6 April 2016, 15.15 |
Searches for dark matter mediators with DARKJETS, or: how to make the most of LHC data (pdf)
| 2 March 2016, 15.15 |
Astrometric detection of exoplanets with Gaia
Most of the ~2000 exoplanets known today have been discovered by observing radial velocity motions and/or transits. The astrometric shifts of stars due to planetary orbits have been detected so far only in very few cases, despite a long history of interest and claims. The Gaia satellite, launched in December 2013 and currently gathering data, measures stellar astrometry with unprecedented precision. It is estimated that ~20,000 planets will be detected at the end of its 5-year mission.