214 programming-"Multiple"-"Duke-University"-"U"-"O.P"-"U.S" Postdoctoral positions at Nature Careers
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during infection using machine learning Detailed information on and specific requirements for each project is given below. The IceLab Multidisciplinary Postdoctoral Program funded by Kempestiftelserna
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leadership positions. We, among others, do this through our gender equality plan and the cascade model measures, which we actively implement to enable sustainable equal opportunities in academic career paths
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experice in machine learning, mathematical methods, and mathematical analysis Programming experience Teamwork and ability to work in an international environment Good communication skills Profound knowledge
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program during the postdoctoral training. Requirements: We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a
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mentoring. The Department includes 24 faculty across clinical, clinician-scientist and research tracks and houses robust clinical and research training programs at the post-doctoral fellowship (including NIH
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cell programming applications. This position involves both experimental and computational work. The experimental work includes the use of CRISPR-based transcriptional control, single-cell omics
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
particular with Large Language Models. Solid programming expertise in Python. Be the main author in at least one journal publication in the area of AI4SE, published at a high impact journal. Experience with
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for the research-based public sector consultancy and degree programs covering bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent