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qualifications: A PhD degree in synthetic or molecular biology, microbiology, biotechnology or related fields. Demonstrated research experience in molecular biology, microbial genetics, genetic engineering, or
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) conferred by start date Demonstrated experience with imaging and/or video datasets Training and experience in machine learning, computer vision, and deep learning methods Excellent English language
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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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soft materials for microscopy imaging, and operating transmission electron microscope and atomic force microscope. This position will be expected to conduct data analysis, prepare publications, and
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schedules of participant families Mentorship and Laboratory Responsibilities (10%) Undergraduate mentorship (data entry, coding projects, image processing) Collaborate with a diverse team of researchers
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multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications of these research will be aimed at enhanced modeling of hydraulic fracturing and carbon sequestration
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Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly motivated PhD students
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Genome Sciences. Minimum Education and Experience Requirements PhD degree in a discipline related to the area of assignment; or equivalent combination of training and experience. All degrees must be
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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possibilities for technologies such as magnetic particle imaging (MPI) and cancer treatment via magnetic hyperthermia. The project brings together advanced experimental techniques, including nitrogen-vacancy (NV