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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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25 Sep 2026 Job Information Organisation/Company Bellvitge Biomedical Research Institute Department Neurosciences Program Research Field Biological sciences » Biology Researcher Profile First Stage
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logistics Analyse and interpret large-scale molecular data (approximately 11,000 proteins per project) in collaboration with our bioinformatics and statistics collaborators Publish results in international
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field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 12 hours ago
are currently represented at the institutes. Find more information, including a detailed timeline, application guidelines, recruiting groups on our PhD website: https://phd.aithyra.at/
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field data, experimental data, and field experiments. Salary is $70,500 annually, plus benefits. Expected start date is mid-June 2027. For examples of our research, see our faculty pages: https
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of Dr. Shannon Wallet, PhD in the Department of Oral Biology, College of Dentistry. In particular this position will serve as a research assistant and as such, under general supervision will perform a
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for applications: 30th September 2026 Interviews will be held on 21st October 2026 The candidate must be in a position to register by January 2027 Project overview This fully funded PhD studentship, supported by
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methods for causal inference using large-scale observational healthcare data. The project will address fundamental methodological challenges in estimating causal treatment effects from longitudinal