Work discussion

 

DateFirst SessionSecond SessionComments
04-09-2017T: respiration, redox and thermodynamicsT: respiration, redox and thermodynamicsDouwe and Rob
11-09-2017WD: Rosanne HertzbergerLD: control in mitochondrial respiration paper link
18-09-2017WD: Chrats MelkonianLD: Thermodynamic description of biomass yields
paper link
25-09-2017WD: Angelica Rodriquez Prado LD: Thermodynamic analysis of metabolome data
paper link
NOTE: From 14.00-15.00
02-10-2017T: Stochasticity of cellsT: Stochasticity of cells
09-10-2017WD: EuniceLD: Rosenfeld paper
16-10-2017WD: RudyLD: Cox & Golding
paperCox
and Xie
paperXie
23-10-2017WD: SergeiElowitz paper
30-10-2017WD: PaulPaulsson Paper
06-11-2017WD: DaanT: Statistical learning 1. Overview
13-11-2017WD: SiezeT: Statistical learning 2. Linear modeling
20-11-2017WD: DennisT: Statistical learning 3. Criteria for choosing models
27-11-2017WD: LauraT: Statistical learning 4. Classification and regression trees
04-12-2017WD: BrettNOTE: auditorium 00E70
11-12-2017WD: Phillipp SchmidtT: Statistical learning 5. Tools for big data
18-12-2017Nick Lane book discussionNick Lane book discussion
WD: Rinke
WD: Jurgen
WD: Rick
WD: Phillipp Savakis
WD: Coco
WD: Lahn an

Time: Mondays 13:00 – 14.00

Location: 01W08

T: Teaching, WD: Workdiscussion, LD: literature discussion (lead by PI)

Teaching: A PI teaches a particular topic which is of general interest to our research.

Literature discussion: A paper is discussed and this discussion is chaired by a PI. The PI and the audience raise particular discussion points which are discussed. We all read the paper.

Workdiscussions:

  • Talks of 20 ‘ + 10’ discussion
  • Your talk should not necessarily be a finished story, but rather provoke discussion
  • Issues with the date? Switch (in time!) with somebody else and inform Jurgen