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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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amphiphilicity and how they shape soft matter systems. In the second funding period, we focus on chemical and physical transition processes – such as (nanoscale) phase transitions, dissolution/solvation, catalysis
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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Biology, Biomedical Imaging, Biochemistry, Physics, or a related field A strong interest in biomedical imaging, contrast agent development, immune cell tracking, and data analysis Previous experience with
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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individuals and patients with psychotic disorders” (funding period from 2025 to 2028) is German Research Foundation (DFG) funded. The applicant will contribute to the development, evaluation and application
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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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to the success of the whole institution. The Faculty of Electrical and Computer Engineering the Institute of Semiconductors and Microsystems together with the German Cancer Research Center site Dresden, Division
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We