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to work as a team · Proficient communication skills, written and oral · Anticipates and solves problems · High degree of initiative Preferred skills: PhD in Virology with HIV research · Image analysis
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
/helmholz/jobs/101652/phd-student-fmx-in-neurodegenera… Requirements Additional Information Website for additional job details https://jobs.dzne.de/en/p/helmholz/jobs/101652/phd-student-fmx-in-neurodegenera
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on division and school-level committees. About the Department The Division of Biostatistics and Health Data Science (https://www.sph.umn.edu/academics/divisions/biostatistics/) currently includes 31 faculty
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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variety of cutting-edge techniques including behavioural analysis, functional imaging, and brain stimulation. Together, these are used to provide a picture of the unique and privileged processing
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-Saclay region and is easily accessible by public transportation from Paris. More information is available at https://www.ip-paris.fr . The candidate will join the doctoral school of the Institut
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https://emploi.cnrs.fr
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and