96 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at Rutgers University
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for developing novel diagnostic, imaging, and therapeutic strategies. Our program uses peptide- and antibody-based combinatorial library selection to discover, validate, and exploit the vascular biochemical
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, and collaboration on grant proposal development. Essential Duties and Responsibilities include the following: Manages databases, develops analytical plans, and carries out analysis for manuscripts
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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Investigator, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune cells. Our research focuses on development and
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expansion of human stem cells, maintenance and archiving of stem cell lines in liquid nitrogen, and conducting quality control assessments. The researcher will also prepare human neuronal cultures, including
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing
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(TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R antagonism and develop peptide‑based