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Field
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
. The institute has a history of more than 90 years. Since its re-founding in 2005, our major goals are to investigate cellular and molecular processes in organ development as well as under pathological conditions
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maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
1801P.01460.1.06 LARSYS/ISR BASE 2025-2029 - LASEEB LAB/ISR, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire simultaneous EEG/fMRI imaging from healthy
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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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to the interior of the cell. GPCRs are involved in multiple physiological process including cell growth, neurotransmission, metabolism & immune response; they can misfunction in disease and consequently have served
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. The research will involve practical DNA sampling, high-throughput genotyping, and data fusion using machine-generated harvest data, annotated images, and environmental information. The student will also evaluate
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–plant interactions. Your main responsibilities will include: Developing and applying high-resolution time-lapse GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root
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Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a