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Description Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( baiome.org ) to complement our lively and enthusiastic team of machine
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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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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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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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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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
metals for biomedical application. We are seeking a highly motivated Ph.D. candidate (m/f/d) to work on the Atomic Layer Dep-osition (ALD) of transition metals for biomedical applications. The well-defined
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University, one of Europe’s leading biomedical institutions. This position focuses on unraveling the regulatory networks underlying dormancy and therapy resistance in acute myeloid leukemia (AML). Using
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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical
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methods for biomedical and toxicological research Establishment and characterisation of 2D cell culture and 3D sphere models based on human primary cells and induced pluripotent stem cells (hiPSCs) Using