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Title of the Position: Postdoctoral Associate Department and School: Child Study Center, Neuroscience, Yale School of Medicine Anticipated Appointment Date: July 2026 Email/Website: ellen.hoffman
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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scientific activities in support of ESA science-related activities. You are encouraged to visit the ESA website (http://science.esa.int ) for an overview of ESA’s Science Programme. Field(s) of activity
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key determinant of C. albicans virulence is its ability to switch between yeast, pseudohyphal and hyphal forms in response to host-associated environmental cues. This project will investigate
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, portable ultrasound, and linked electronic health-record data. Research is conducted in close partnership with cardiovascular clinicians, imaging specialists, biomedical engineers, statisticians, computer
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extended until a suitable candidate who fulfils all requirements is found. If you have questions about further details, please email [email protected] Where to apply Website https://system.erecruiter.pl
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provided (equipment, IT, etc.): An office equipped with a computer workstation and shared equipment from the Institut Curie research team Key contacts (within and outside the CNRS): Team leader (Scientific
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for collaboration with Professor Navin Kartik. Ph.D. program transcript Two letters of recommendation Please electronically submit application materials to https://www.aeaweb.org/joe/listing.php?JOE_ID=111477231
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also demonstrate excellence in oral and written communication, lab and project management, and an ability to supervise and mentor trainees. Minimum Education and/or Work Experience M.D. or PhD Required
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
to undergo target-triggered and field-controlled conformational changes, producing large electronic/capacitive signals when integrated with chip-scale measurement platforms. The long-term goal is to develop