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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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further development of human iPSC-based organoid and cell culture models Planning, execution and analysis of experimental work (e.g. differentiation protocols, molecular biology analyses, imaging
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statistical genetics techniques to analyse large-scale single-cell and genomic data. Data Analysis: Process, analyse, and interpret high-throughput single-cell and genomic data to derive biologically meaningful
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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
relevance to life science applications. Typical tasks: Preparation of materials (mainly provided by partners) for in vacuum analysis Development and refinement of ion-beam induced secondary electron imaging
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(Numerical Analysis and Applied Mathematics) develops numerical algorithms and software for large-scale problems in science and engineering. Its research ranges from algorithm design and analysis to software
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cellular communities ultimately aiming at the ambitious goal of single cell analysis. Your responsibilities: Develop mass spectrometric methods advancing circular bioengineering Develop mass spectrometric
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three Helmholtz centres, each with complementary expertise in microfluidics technologies, imaging, AI-supported image analysis and innovative reporter systems. The scientist will set up a microfluidics
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, microbiology, bioengineering, etc.). Additional experience in molecular biology or programming-based image analysis will be much welcome. The project(s) related to this position will be quantifying and
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single-element SNSPDs as well as kilopixel-scale imaging arrays which have high efficiency in the 2 – 16 µm wavelength range for applications in single-photon spectroscopy. The imaging arrays will be
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Experience in research and teaching Experience in the statistical analysis of complex medical data Interest in methodological research and scientific communication Interest in clinical patient-centric data