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, microfluidic platform for in‑depth analysis of liver - immune cell interactions Qualifications Master’s degree in Biology, Biotechnology, or a closely related field. Minimum of two years of relevant post
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well-documented analysis pipelines, models and data products. Contribute up to 0.1 FTE to teaching or supervision at Maastricht University. Are you excited to work at the interface of neuroscience and
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, biomedical engineering, computer science, psychiatry, neurology, or a related field Required Qualifications: Strong experience in (i)EEG and/or fMRI data analysis. Strong record of peer-reviewed scientific
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activities, including the collection, analysis and documentation of qualitative and quantitative data. The role involves preparing research reports, developing data collection tools, communicating project
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public policy analysis in the area of energy systems. Assists Center’s director in grant awards maintenance and budget related duties. Supervises assigned student personnel. Performs other functionally
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PhD Scholarship Non-persistent rock discontinuities, rock bridges, and rock mass stability: numerical modelling and analysis. Water flow in rock discontinuities, discontinuity mismatching, and shear
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bioinformatics, computational biology, genomics, evolutionary biology or a related discipline. Essential skills include experience with genomic data analysis, proficiency in Python and/or R, familiarity with
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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, annotators, and underlying neural architectures. The ultimate goal is to produce argument mining tools that are more robust, generalizable, and fair, applicable to sensitive domains such as the analysis
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in