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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) A new project area in the institute is the development of artificial intelligence (AI
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explores electrochemical tools for desalination and ion recovery. Expanding from lithium-ions and other precious elements, we now seek a: Ph.D. student (F/M/D) for research on electrochemical rare earth
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group of Analysis of Microscopic BIOMedical Images (AMBIOM) within the department Biospectroscopy in Dortmund we invite applications for a: Masters Intern (m/f/d) Machine learning and bioimage analysis In
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the processing behavior of fiber reinforced polymer composite materials Development and further enhancement of material characterization and finite element-based simulation methods Material modeling for fiber
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Rare-Earth-Sulfide thin films with enhanced Magneto-Optical properties Project Background: Nanostructured functional materials ranging from metals, metal oxides, metal nitrides and metal sulphides
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missing factor in soil GHG flux models. BoTiKI aims at filling this knowledge gap and establish improved GHG models accounting for soil fauna. To achieve this, we create a rich AI-training dataset
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. Your tasks: Identify target genes for the transcription factor in barley grains through ChIP-seq analysis. Confirm candidate target genes using EMSA, trans-activation assay and other relevant methods
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train connections to the North Sea coast, Hamburg, Berlin, the Netherlands, and Denmark. PhD Program: Research component The focus of the PhD Program and of each individual PhD thesis is on the research
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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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assessment of the field of carbon dioxide removal. The candidate will provide scientific support to analysis in the areas of national climate policies and media research. Important background material include