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infection and inflammation. As the Research Technician, Neuroimmunology, you will work closely with a Physician Scientist to study these immune signaling networks using a variety of imaging strategies, mouse
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, performing experiments with students and postdocs, analysis of imaging and electrophysiology data, contribution to scientific publications. Please submit your application online at https://apply.ista.ac.at
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. About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of
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standard laboratory and office equipment. * Demonstrated computer skills and proficiency with MS Office Suite and data analysis and presentation software (Prizm, Adobe Photoshop and Illustrator, Image J, etc
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their careers. The School of Medicine and the Department of Anesthesia are committed to diversity, equity, and inclusion for its faculty, staff, residents, postdocs, and fellows. We aim to recruit, support
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of instrumentation scientists , applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing
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scenarios. Develop and maintain production-quality software (primarily Python) to enable AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic
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Researcher (R2) Positions Postdoc Positions Application Deadline 1 Apr 2026 - 12:00 (Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job
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information The ability to work with postdoc and PI within the research lab on assigned projects. MATLAB, Python, and R software, equipment operation, or research technical skills How to Apply: For full
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tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams. Support advanced modeling approaches including network analysis, multivariate methods, machine learning