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international conferences. About you a PhD qualification in Materials Science and Engineering, Metallurgy, Additive Manufacturing, Mechanical Engineering, or a closely related discipline demonstrated expertise in
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 22 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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methods such as Fourier plane imaging. The project has a concurrent goal to commercialize the results of the project. Your role and goals The successful candidate is expected to develop novel nanoparticle
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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. This position works closely with PI Lindberg to design and implement lab research, supervise PhD students and undergraduate students and manage collaborative relationships with research project external partners
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advancing new molecular imaging and therapeutic agents from bench discovery toward preclinical and clinical application. The laboratory is focused on novel agent development, in vitro and in vivo development
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funding opportunities to build research independence. Key skills and experience required: A PhD in in physiology, exercise physiology, cardiovascular science, biomedical science or a related discipline
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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framework 3) to develop a minimum viable digital platform prototype to demonstrate scalable CDT delivery. The successful candidate must be able to demonstrate at least one of the following: a PhD degree
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cells, and their spatial organization within the tumor microenvironment. We use spatial transcriptomics and spatial proteomics, advanced image analysis, and computational approaches to investigate