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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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an integrated support structure for testing behavioral phenotypes in in vivo models, producing genetically engineered in vivo model systems and 3-dimensional human brain organoids, in vivo and ex vivo imaging
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fundamental and translational aspects of infectious disease (germfree/gnotobiotic animal facility, organoid cultures, T-cell engineering via CRISPR/Cas9 technology, in vivo imaging, animal models, microbiome
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improve the sustainability, the energy efficiency and the safety of industrial processes. The Department of Fluid Dynamics Resource Technology Processes is looking for a PhD Student (f/m/d) Experimental
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, PyTorch, scikit-learn). Build data pipelines for processing complex clinical data from sources like Epic Clarity, REDCap, omics platforms, and medical imaging systems. Develop and maintain infrastructure
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James Cancer Hospital. Serves as a mentor and sponsor of residents, fellows, and faculty in the Division. Conducts Annual Reviews for faculty in the Division. Requirements MD, DO, or MD/PhD in imaging and
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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genealogical merging processes. The PhD candidate will work at the interface of machine learning, statistics, probability, and with applications in statistical genetics, developing new theory, algorithms, and
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cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you might be our next PhD
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications