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Field
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modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process
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immobilization, biocatalytic reactor design, flow biocatalysis, and computational tools for mutation predictions, Self-motivated, pro-active, team- and goal-oriented personality, Full command
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, the appointee will help ALCF enhance the performance of AI-driven applications and HPC workloads, ensuring efficient utilization of resources and improved system predictability. Position Requirements Required
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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well as the eye contribute. Since early risk prediction and timely intervention can mitigate vision loss, it is critical that we fully understand the underlying cause(s). This project aims to identify biomarkers in
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immobilization, biocatalytic reactor design, flow biocatalysis, and computational tools for mutation predictions, Self-motivated, pro-active, team- and goal-oriented personality, Full command
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
generation, gene/genome reconstruction, prediction of phylogenetic domains of DNA sequences and genes, molecular feature classification, and protein clustering based on structure and function. Skills in R
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talented and motivated Postdoc candidate within the field of Immunoinformatics and prediction of T cell immunogenicity. HLA class II antigen presentation form the cornerstone of T-helper cell immunogenicity
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models