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Field
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. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
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on future long autonomous navigation techniques. About you a PhD in a relevant field or near completion extensive knowledge of robotic navigation, machine learning or other relevant fields experience working
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description NOMIS Foundation ETH Postdoctoral Fellowship The NOMIS
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Apply now Job no:541789 Work type:Full Time Location:Canberra, ACT Categories:Post Doctoral Research Associate Postdoctoral Fellow, UNSW Nuclear Innovation Centre (UNIC), Canberra Employment type
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: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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full-time post-doctoral fellow, beginning in Academic Year 2026-2027. The position is for one year with the possibility of renewal for additional years based on performance and funding. The postdoctoral
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towards better understanding what replication can mean for qualitative research. Last but most topically, the theme of replication raises a host of questions in relation to machine learning and artificial
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, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify
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preferred skill, including GIS, spatial suitability modeling, multi-criteria decision methods, and machine-learning-based feature importance. Exposure to resource questions relevant to large-load development
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many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to