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Field
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program integrating microbiology, synthetic biology, electrochemistry, and materials science. The program includes strong capabilities in engineering protein nanowires with tunable properties and
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Experience with segmentation, tracking, registration, time-series analysis, or automated image-processing workflows is desirable. Experience with fluorescent probes, biosensors, HaloTag/SNAP-tag systems
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Experience with segmentation, tracking, registration, time-series analysis, or automated image-processing workflows is desirable. Experience with fluorescent probes, biosensors, HaloTag/SNAP-tag systems
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University of Maryland School of Medicine, Baltimore | Baltimore, Maryland | United States | about 20 hours ago
brings together complementary expertise in cancer immunology and viral engineering to investigate tumor–immune interactions and develop innovative immunotherapeutic strategies for solid tumors, with a
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focus on experimental laboratory work or simulation-based studies Requirements: above-average university degree in the subject physics, information systems technique, electrical engineering, or related
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software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 20 hours ago
related field. Expertise in at least one of the following areas: textual analysis, natural language processing, or large language models; GWAS, statistical genetics, or germline genomics; or immune
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media flow, electrochemistry, bubble dynamics. Demonstrated experience in experimental fluid mechanics, electrochemical measurements, flow diagnostics, high-speed imaging, image processing, or
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cultures to phenotype various carbon oxide (CO or CO 2 ) fixing native and engineered microbial strains. QUALIFICATIONS • PhD in Biological Sciences, Chemical Engineering, or related fields
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/software co-design and operating/runtime systems. Typical application domains are e.g. signal-/image processing and machine learning. Tasks: modeling and simulation of near-memory computing