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and infection diseases. You will also have the opportunity to collaborate with exceptional clinicians and scientists across multiple projects and institutions. Qualifications: PhD and/or MD/PhD degree
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)automated data processing and a collaborative workspace. Eligibility requirements: PhD or equivalent degree in Computer Science, Physics, Life Sciences, or related field. Strong background in developing AI
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postdoctoral fellow, you will join a dynamic research environment focused on systems biology in infection and vaccination. Under the mentorship of Dr. Joann Arce, PhD, Assistant Professor in Pediatrics at HMS
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 13 days ago
. Neurodegenerative diseases are complex and multifaceted. The overarching goal of the project is to develop advanced statistical models and deep architectures that can contribute to improved ability to diagnose
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, PCR, and cloning is preferred. Excellent communication, organization skills, and the ability to collaborate effectively are essential for this position. Job Responsibilities: Performs laboratory
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degree with 2 years of vet tech or research experience, or a Master’s degree or PhD in neuroscience or related discipline (i.e. behavior, psychology, anatomy) Prior experience handling murine models
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skills, and the ability to collaborate effectively are essential for this position. The Ideal Candidate will have: • Prior experience in animal husbandry, mouse colony management, brain surgery
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. No experience is required with a PhD. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range
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with a Master’s degree. No experience with a PhD. At least two (2) years of experience in Flow Cytometry, especially in cell sorting, is highly preferred. Preferred skills Excellent written and
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expertise. The appropriate candidate is recent PhD/MS graduate (no more than 3 y post-PhD) independently able to propose testable hypotheses based on your understanding of the GPCR literature, and design and