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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | 2 months ago
The Kitamura Lab at Albert Einstein College of Medicine is seeking a full-time postdoctoral researcher to join an interdisciplinary research program at the interface of chemical biology, cell
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meta-analyses can be optimally applied within the field of otolaryngology. In doing so, you will not only contribute to new insights for patients with tinnitus and hearing loss, but also to the further
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optical, electronic, and photodetector properties. Responsibilities Synthesize III–V CQDs using air-free colloidal methods. Design and optimize precursor chemistry for InAs-, InSb-, Ag₂Te-, and PbSe/PbS
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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Deadline 17 Jul 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 29.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
optimization. Participate in collaborative research projects and mentoring. Contribute to academic publications, reports and seminars The selected candidate will be part of the Foundations Cluster of CIDSAI and
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Location ST. LOUIS, MO 63110 Position Summary The Postdoctoral Researcher will support a multidisciplinary research program focused on understanding the genomic and molecular mechanisms underlying
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Positions Application Deadline 25 Sep 2026 - 17:00 (Europe/Riga) Country Latvia Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon 2020 Is
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and discovery 4. Attends workshops/seminars on computational aided drug discovery Required Knowledge, Skills, and Abilities The individual in this job must possess these skills and abilities or be able
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The Geeleher Lab tightly integrates wet-bench and computational approaches to improve outcomes for children with cancer, with a particular focus on neuroblastoma and other high-risk pediatric solid