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machine learning is an advantage but is not required. Experience with the design and implementation of survey-experiments is an advantage but not a requirement. Alongside developing their own research ideas
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increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is
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chromosomes from scratch and control how they are inherited. The chromosome is the fundamental unit of inheritance and the only vehicle large enough to encode truly new biological functions. Yet we currently
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large and/or heterogeneous datasets, including quantitative and/or qualitative data Experience working with project partners and interdisciplinary research teams Required Education PhD in environmental
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29 Jun 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1
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questions. Implements and adapts machine learning and AI-based approaches for high-dimensional epidemiological data, including variable selection, prediction modelling, and data integration. Retrieves
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English PhD Research Fellow in AI for Rehabilitation and Motor Learning Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in Adaptive AI
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
, international collaboration, and data crawling Develop algorithms to process and clean large and diverse ionospheric datasets. Share research findings through publications, research seminars, etc. Guide and
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position. Salary and Benefits: This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be
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simulations combined with physics-informed machine learning will also be examined. Several research and industrial partners are a part of this project. The ideal candidate would combine strong computational