73 high-performance-computing-"Multiple"-"Prof"-"Washington-University-in-St" Fellowship positions
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deployment, ensuring that all deliverables meet high standards of performance, scalability, and user experience. This is an exciting, dynamic position offering the chance to engage with cutting-edge
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current and emerging issues of work-related health in Canada. Our program of research is aimed at improving our understanding of the causes and consequences of injuries and illness, identifying high-risk
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interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
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-high-throughput screening, and structural biophysics. We are looking for a postdoctoral scientist who will work at the crossover of chemistry, biology, and engineering to advance these technologies from
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high-dimensional neuroimaging datasets with strong statistical and computational skills Demonstrated ability to work independently and collaboratively across disciplines in a research setting Excellent
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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manage multiple projects and assignments with a high degree of autonomy. Supervise undergraduate and graduate students in the execution of basic science and translational studies and duties. Lead and
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/NLB) Posting Start Date: 24/06/2025 Job Description: Job Description The Signature Research Programme in Emerging
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KEK, QUP Position ID: KEK -QUP -POSTDOC19 [#30165, KEK-QUP-PD2025-1] Position Title: Position Location: Tsukuba, Ibaraki 305-0801, Japan [map ] Subject Areas: Data Science / Machine Learning High
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bonding strategies to enable mechanical durability and signal fidelity in multimodal sensors. Conduct validation of sensor arrays across multiple modalities, ensuring performance across variable