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://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning
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available within the Social, Cognitive, and Affective Neuroscience Laboratory directed by William “Scott” Killgore, PhD. https://scanlab.arizona.edu/ This position is focused on the area of emotional
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scientific instrument development. Applicants should meet the following qualifications and possess relevant expertise: A PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
CRISPR screening (Bock 2022 Nature Reviews ), and CAR T cell engineering (... Where to apply Website https://www.eurosciencejobs.com/job_display/293955/CeMM_International_Postdoc_P… Requirements Additional
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
conferences, contribute to publications, and support a positive and collegial team culture. Essential qualifications Doctoral degree (PhD) in Molecular Biology, Biochemistry, Cell Biology or a related life
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- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD and/or MD degree
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Posting Open Date 06/08/2026 Posting Close Date 07/07/2026 Qualifications Minimum Education and Experience PhD or MD in Neuroscience, Psychology, Cognitive Science, Public Health, or related discipline
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Posting Open Date 06/08/2026 Posting Close Date 08/04/2026 Qualifications Minimum Education and Experience PhD or MD in Neuroscience, Psychology, Cognitive Science, Public Health, or related discipline
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Posting Open Date 06/08/2026 Posting Close Date 08/14/2026 Qualifications Minimum Education and Experience PhD or MD in Neuroscience, Psychology, Cognitive Science, Public Health, or related discipline
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, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and