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Field
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and engineering. Collaborate with team members on research projects and contribute to manuscript preparation and grant applications. Job Requirements PhD in Immunology, Molecular Biology, Biochemistry
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possess a PhD qualification in mechanical engineering, biomedical engineering or a relevant biological or engineering discipline. We seek a motivated individual who can work well independently as
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beyond the PhD in a research or engineering environment focused on large-scale AI. Experience with geometric deep learning, diffusion architectures, or related frameworks (e.g., OpenFold, AlphaFold2/3
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the field to improve and advance the present state-of-the-art in contact lens technology. Working alongside a research fellow in biomedical polymer technology, you will be expected to contribute
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changes in sensory coding. We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on
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) research fellowship with the reference AcTIon_A3_BI_3, for a PhD student or a Master enrolled in a non-academic degree course (BI), within the Research Project titled “Acelerar a Inovação Terapêutica - para
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-185058-26 General Description PREP Research Associate This position is part of the National Institute of Standards (NIST
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assisting with the preparation of future research funding proposals. About You You will hold a PhD in Materials Science, Nanotechnology, Biomedical Engineering, Chemistry, Bioengineering, or a closely related
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project funded by NSERC Alliance and Mitacs. Qualifications The following qualifications and skills are required: PhD in Physics or Biomedical Engineering. Ability to conduct independent research, data
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have a PhD (or equivalent) in AI, Data Science, Computer Science, Biomedical Engineering, or a related field, or equivalent experience applying AI/ML to healthcare or biomedical data. Please view the job