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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is
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the Federal Republic of Germany and its federal states. At our location in 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
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location in Dortmund, we invite applications for a PhD Candidate (m/f/d): Mass Spectrometry Imaging The position is to be filled within the framework of the EU-funded project European doctorial network
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Degree PhD (Dr-Ing or Dr rer nat) Doctoral degree or degree awarded by Ruhr-Universität Bochum or Universität Duisburg-Essen Course location Düsseldorf In cooperation with Max-Planck-Institut für
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of the PhD To develop AI/ML solutions to identify cells and regions of interest (ROIs) in optical microscopy or topographic AFM images and define scanning areas automatically. To develop AI/ML solutions
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the treatment of cancer by administering radiation therapy that is biologicallypersonalized and technically-optimized. The Department of Medical Radiation Physics is looking for a PhD Student (f/m/d) Compensation
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. This will provide novel insights into these diseases as well as the function of the BAF complexes and their subunits in developmental processes. We are therefore looking for a highly motivated PhD student who
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and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Life Science Nanomicrosystems is
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or computer science Strong academic background in signal processing, radar imaging or remote sensing Proficiency in image processing and machine learning Interest in working with Radar instruments and data Excellent
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insights into these diseases as well as the function of the BAF complexes and their subunits in developmental processes. We are therefore looking for a highly motivated PhD student who is experienced in