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geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
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using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO
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” or Neuroeconomics is highly welcome, but not mandatory Knowledge of neuroscientific methods (fMRI, EEG, MEG or NIRS) and/or in psychophysics would be of great advantage Programming skills in Matlab, R or python and
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Zukunftslabor Grüner Wasserstoff zum nächst möglichem Termin in Vollzeit zu besetzen. Ihre Aufgaben: Als eine(r) von drei WissenschaftlerInnen (mit abgeschlossener Promotion / post doc- bzw. Professoren-level
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab
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(e.g. Python, R, …). Familiarity to work on a Linux computing cluster (HPC). Preferably experience in working with large medical image data. Vivid interest in the analysis of microscopy images or similar
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Programming knowledge (e.g. R, Python) Experience in field studies, specifically in museums is a plus Above-average degree in psychology or related disciplines Very good command of English Our offer: Work in a
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or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab). • Publication record appropriate to stage
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Balaish, JLM Rupp, Design of triple and quadruple phase boundaries and chemistries for environmental SO 2 electrochemical sensing, Journal of Materials Chemistry A, 2021 3. M. Struzik, I. Garbayo, R