284 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" Fellowship positions in United States
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Institute at City of Hope. You will work on projects investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology
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: · Contribute to the development of CD38 antibody‑drug conjugates (ADCs) and other multiple myeloma targets, including monoclonal antibody (mAb) engineering, ADC conjugation, biophysical characterization (SPR
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on integrating data science, AI, and GIS with transportation engineering to create sustainable and efficient urban mobility systems. With a strong emphasis on data-driven decision-making, EcoTran Lab is
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Details Title Postdoctoral Fellowship Position in Visual Computing at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Sciences
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alpha emitters. The scholar will have the opportunity to collaborate with researchers/clinicians in Radiology, Radiation Oncology and Electrical Engineering. Mission Statement Michigan Medicine improves
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antibody-based approach to intervene the malignancies 3) Identification of novel therapeutic target using high-throughput CRISPR genetic screen (e.g., metabolic pathway, mitochondria structure) in immune
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range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 18 hours ago
high-volume data to prepare for modeling; Learn how to adjust model structures/parameters based on calibration data, and evaluate model credibility using validation data; Learn how to execute modeling
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Details Title Postdoc Fellow in Advanced AI for Energy/Power Grids School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Electrical Engineering / Applied
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automation, computational drug design, machine learning, and software engineering. The ideal candidate will contribute to innovative research and the development of advanced computational tools within our lab