93 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" Postdoctoral positions at Cornell University
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Engineering, Applied Physics, or a related field. ● Strong programming skills (Arduino, microcontrollers, embedded systems, data acquisition, and control systems). ● Experience with laboratory instrumentation
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for conferences and partner meetings. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30764 Qualified candidates should submit a short cover letter, curriculum vitae, and
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. Employee will have no supervisory responsibility To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30577 Qualified candidates should submit: a short cover letter
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and present our work at top-tier ACM computer science venues in Human Computer Interaction (HCI) and Wearable Computing. Example projects and publications from our group: Intro to the Hybrid Body Lab
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expected for conferences and partner meetings. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30764). Qualified candidates should submit a short cover letter
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: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/29926 ), Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references
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academic writing skills. This is a one-year appointment with the possibility of renewal. Salary based on the NRSA stipend levels. Applications must be submitted through Academic Jobs Online: https
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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applications received before August 29, 2025 will be given full consideration, but the posting will stay open until the position is filled. Only complete applications will be considered. Please apply at: https
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Biology with both high-throughput experimental (proteomics and genomics) and integrative computational (network analysis and machine learning) methodologies, aiming to understand gene functions and their