About: Methods for which knowledge is required for this position: microbiological methods, work with DNA and proteins, electrophysiological methods for the study of membrane toxins, conductivity characterization of single molecules, time-resolved fluorescence in the study of membranes and protein conformation (fluorescence anisotropy). We also require: knowledge of microbiological methods, gene manipulation, recombinant production and protein purification Ability to process large volumes of data statistically (e.g. non-hierarchical cluster analysis algorithms "K-means", non-linear regression) good graphical representation of processed data (e.g. kernel density estimation KDE) knowledge of working with appropriate programs (e.g. OriginPro, QtiPlot, Gnuplot, Fityk, QuB, R).       Sponge   NotDistinct   Permalink

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  • Metody, u kterých je pro tuto pozici předpokládaná znalost: mikrobiologické metody, práce s DNA a proteiny, elektrofyziologické metody pro výzkum membránových toxinů, vodivostní charakterizace jednotlivých molekul, časově rozlišená fluorescence při studiu membrán a konformace proteinů (anizotropie fluorescence). Dále požadujeme: znalost mikrobiologických metod, genové manipulace, rekombinantní produkce a purifikace proteinů schopnost statisticky zpracovávat velké objemy dat (např. algoritmy nehierarchické shlukové analýzy "K-means", nelineární regrese) dobré schopnosti grafického znázornění zpracovaných dat (např. kernel density estimation KDE) znalost práce s vhodnými programy (např. OriginPro, QtiPlot, Gnuplot, Fityk, QuB, R). (cs)
  • Methods for which knowledge is required for this position: microbiological methods, work with DNA and proteins, electrophysiological methods for the study of membrane toxins, conductivity characterization of single molecules, time-resolved fluorescence in the study of membranes and protein conformation (fluorescence anisotropy). We also require: knowledge of microbiological methods, gene manipulation, recombinant production and protein purification Ability to process large volumes of data statistically (e.g. non-hierarchical cluster analysis algorithms "K-means", non-linear regression) good graphical representation of processed data (e.g. kernel density estimation KDE) knowledge of working with appropriate programs (e.g. OriginPro, QtiPlot, Gnuplot, Fityk, QuB, R). (en)
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