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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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under limited supervision, • Ability to produce outcomes under strict deadlines, • Experience using Illumina sequencing, and, • Knowledge and skills in Python/MatLab for image processing, programming, and
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travel. Please note: This position is grant funded; future employment may be contingent upon future funding. Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload
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of specialization. Hands-on experience with flow cytometry and cell sorting, fluorescence and confocal imaging, standard biochemistry, molecular/cell biology techniques, cell culture, flow cytometry
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with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the interview process wherever it is reasonable to do so and, where
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the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you
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) computer vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial
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background in developmental neurobiology, cannabinoid pharmacology, and in vivo calcium imaging (fiber photometry). You should have experience or a strong desire to learn ex vivo electrophysiology
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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commissioning of these prototype systems, co-develop improved suspension control schemes, and build hands-on expertise in suspension commissioning in preparation for an actual observation run. The work connects