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in a scalable manner, as well as innovating new methods for understanding or treating disease. Our key projects include: Primary research using Artificial Intelligence (AI) and bioinformatics and
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delivery of an online database of objects, combining legacy material from antiquarian excavations and modern campaigns, producing catalogue of objects, and carrying out primary, category specific and spatial
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will lead a research project with the aim to understand the functional role and disease mechanisms of protein complexes associated with primary cilia and centrosomes. Cilia are antenna-like organelles
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towards future fellowships or faculty positions. The role is primarily based on-site at Trinity College Dublin to facilitate close interaction with the Principal Investigator, CANN group collaborators and
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. Be You. At
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, Master's, or Doctoral Degree. Have completed an Associate's, Bachelor's, Master's, or Doctoral Degree within the last 5 years. If it has been more than 5 years since the receipt of the degree, to be
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peer-reviewed research publications. Applicants should be detail-oriented, conscientious, able to work independently as well as in a team under direction of the Principal Investigator, and have the
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, then applying those models to reprogram cells in disease contexts. Our primary model system is the fibroblast, a phenotypically plastic cell type with roles in cancer, fibrosis, and inflammatory disease
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 months ago
interest in developing new technologies for real-world applications Good experimental skills in optical lab or cleanroom A master/PhD degree in physics/chemistry/material science Experience with numerical
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep