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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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characterization, clean-room processes or magnetic imaging Past experience in Micromagnetic or Atomistic simulations is desirable, but not mandatory Willingness to work closely with collaboration partners and travel
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for Digital Twins for different agricultural and biorefinery processes Acquisition of third-party funding projects Promotion of bachelor, master and PhD thesis Preparing and publishing research findings in peer
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, the fertilization process. Our research focuses on the physiology and pharmacology of ion channels, employing cutting-edge techniques such as electrophysiology, advanced fluorometric imaging (Ca²⁺, pH, membrane
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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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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analysis technology3D high-throughput imaging or patient biosample processing Ability to work in a multidisciplinary and international team of scientists with excellent written and oral communication skills
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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 Department Life Science
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measuring stand for the collection of hyperspectral data on a test field Collection of imaging data and creation of a database Establishment of a data processing routine for pre-processing the hyperspectral
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. The research group Mechanoreceptors/ Section II at Leibniz-LSB@TUM is currently looking for a PhD student (m/f/d) to start as soon as possible. The position is to be filled on a part-time (65%) basis