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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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Computer Science at the Nano-Optics and Advanced Health-Sensing (NOAHS) Lab by focusing on heterogeneous integration of transparent conductive oxides (TCOs) with silicon photonics, which will be primarily
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Doctoral Fellow Campus Columbia Work County Richland College/Division College of Arts and Sciences Department CAS Biological Sciences Advertised Salary Range We offer a competitive salary and benefits
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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Doctoral Fellow Campus Columbia Work County Richland College/Division College of Arts and Sciences Department CAS Biological Sciences Advertised Salary Range Salary commensurate with qualifications. Location
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integrative and exploratory analyses of multi-omics datasets and apply machine learning methods to uncover underlying biological principles Selection Criteria Ph.D. in data science, computational biology
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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the team. The preferred starting date is 1 December 2025. Profile You hold a PhD in Computer Science, Physics, Engineering or a discipline equally relevant to the topic of the job, or can demonstrate