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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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Description Job Responsibilities: -Conducts research activities on insect midgut biology in arthropod systems in contained laboratory environment. -Design and perform proteomic, transcriptomic, imaging and
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applications ranging from next-generation laser technology and precision material processing to laser-driven self-assembly and surgery, all the way to a long-term vision of developing an “Atom Printer” based
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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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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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engineer or computer scientist to establish a robotic platform for autonomous experimentation in organoid culturing. You will work with life scientists to design, integrate, and establish the platform’s
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neurobiology research, Can independently design and conduct experiments, analyze and interpret results, Experience working with laboratory animals, Electrophysiology, Two-photon imaging, Live/in vivo imaging
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Framework Programme? Horizon Europe - EIC Reference Number 101046835 Is the Job related to staff position within a Research Infrastructure? No Offer Description Participation in Thermodust project “A paradigm
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
vivo models of PD Apply and further develop methodologies such as disease modeling, virus-mediated gene delivery, behavior, immunohistochemistry, tissue clearing and 3D imaging, image analysis, spatial