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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 understand, 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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. 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
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activities, and a buddy programme. List of doctoral programmes and other offers We provide PhD positions within the framework of our core areas: A: Designing dynamical emergence in quantum matter B: Capturing
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for climate-positive and CO2-negative processes. What you will do Optimization of the pilot plant for the combustion of solid fuels (biomass, waste) with oxygen and subsequent CO2 capture Development of models
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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray
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offers interdisciplinary approaches to biomedical research with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation
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funding opportunities within the university PhD students receive either a scholarship or a regular salary. Academic admission requirements Before starting the application process, we recommend that you have
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Training Group 2413 SynAGE, supported by the German Research Foundation seek for a highly motivated PhD student position (f/m/d) starting as soon as possible for a 3-year fixed-term period (in accordance