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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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, histology, and image analysis to phenotype root anatomy Plant and root physiological measurements QTL mapping and mutant characterization to identify the genetic regulation of anatomy Plant cultivation
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training that prepares young scientists for a successful career in infectious disease research. The LIV technology platforms offer state-of-the-art infrastructure for flow cytometry, microscopy and image
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: Microscopy, histology, and image analysis to phenotype root anatomy. Plant and root physiological measurements to determine the function of root phenotypes. Genome-wide Association Studies (GWAS) and
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image analysis to phenotype root anatomy Plant and root physiological measurements to determine the function of root phenotypes Plant cultivation (maize) in the greenhouse and field Keep informed with
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their area of interest and will serve as their primary supervisor. The student will become part of the faculty member’s research group, which typically includes master’s students, PhD students, postdocs, and
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of analysis and visualization software Very good written and spoken English skills are required Furthermore, experience in dealing with the ICON model and the scientific utilization of ICON data is an advantage
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cutting-edge research project within a highly interdisciplinary and international team and a supportive research environment Access to state-of-the-art imaging and analytical facilities Opportunities
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Studying lipid alterations of tumorous material by mass spectrometry imaging Quantification of corresponding lipids using liquid chromatography mass spectrometry Data analysis of sequencing and microscopy