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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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organoids Experience in gene therapy research Experience in fluorescence and confocal microscopy Processing and analysis using image‑analysis software Experience in research within cellular reprogramming More
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translated to understanding, prevent, and treat heritable cardiovascular diseases. More specifically, the role involves developing and utilizing computational tools and systems to analyze and interpret
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give rise to psychiatric symptoms. To do this, we study b rain development with advanced multi-modal MRI imaging, mobile phenotyping, and detailed clinical assessments. The Clinical Research
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» Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Feb 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours
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employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial
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. APPLY HERE: https://www.img.cas.cz/phd Where to apply Website https://www.img.cas.cz/phd Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteInstitute
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within our department. Candidates will be expected to perform outpatient obstetrical imaging, will be expected to work in high-volume inpatient and outpatient clinical practices, and will be expected
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of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file We are not accepting applications for this job through AcademicJobsOnline.Org right now
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
candidate permissions at the appropriate time in the search process Apply link: https://recruit.apo.ucla.edu/JPF10241 Help contact: endochiefsearch@mednet.ucla.edu About UCLA As a University employee, you