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Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation
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. in Computational/Applied Mathematics or Computer Science. Degree must have been earned within 72 months prior to beginning of appointment. Required Experience Desirable Education and/or Experience
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techniques such as RT-PCR, seq-RNA, IHC, and FACS. • Experience of RNA-sequencing and data analysis. • Experience of working in dental pulp and mineralized tissues (tooth and bone). • Good oral and written
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Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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soil science, agroecology, environmental science, biology, data science or similar Collaborative skills and ability to participate actively in teams A fondness for taking the initiative and the
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with major research universities worldwide as well as with neuro-related industries. The position will work under Dr. Ganesh Chand, Assistant Professor of Radiology, within WashU in St. Louis School
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
techniques such as RT-PCR, seq-RNA, IHC, and FACS. • Experience of RNA-sequencing and data analysis. • Experience of working in dental pulp and mineralized tissues (tooth and bone). • Good oral and written
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and