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Medical physics Data science Related health, science or engineering disciplines Experience with imaging analysis, signal processing, programming, machine learning, or quantitative research methods would be
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PhD Student (f/m/d) | Engineering Crystallization and Precipitation Processes for Biopharmaceuticals
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 24 hours ago(or equivalent) in chemical, bio- or process engineering, chemistry, physics or a related discipline, with above-average grades Enthusiasm for hands-on experimental work, including building and automating setups
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PhD scholarship is linked to a successful NHMRC Ideas Grant investigating Non-invasive Dynamic 3D Phase-Velocity Field Imaging (PVFI) to advance epilepsy surgery eligibility and outcomes. About the
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: How do we watch material surfaces evolve? Change: Building a surface-sensitive diffractive microscope. Impact: Enabling high-resolution imaging of surfaces during operation. Job description We
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by researchers and imaging experts around the world. We value excellent software as a scientific contribution in its own right. You will work at the intersection of software engineering, computational
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Medicine, Medical Image Analysis, Medical Informatics, or a closely related discipline. Candidates with a background in health law or technology regulation are also welcome, provided they demonstrate
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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PET tracer, and their ongoing (pre)clinical translation, Groningen is taking the lead in imaging of Gram-positive infections. This PhD project will focus on expanding this initiative to the imaging
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processes. This project will use size-based imaging technologies of marine plankton communities to improve understanding of ecosystem function, inform ecosystem-based management, and support global efforts