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Field
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objective is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of the underlying computational techniques. SURE-AI researchers will drive a transformative
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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uncertainty. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic
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) background and experience in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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analysis, algorithm development, simulation, and hardware-in-the-loop experimentation. The Research Fellow will work closely with the Principal Investigator and collaborators/students across NTU Singapore
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primary deliverable of this position is a theoretical and methodological template that we call Action-Oriented Modeling. Rather than delivering finished algorithms, the template specifies how to build
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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analysing algorithms and metrics for ensuring fair treatment of groups defined by protected attributes (e.g. gender, age, ethnicity, …). Theoretical relations between fairness notions: studying
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Details Title Postdoctoral Fellow in Epigenomics and Human Biology School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a postdoctoral research