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vacancies page and complete all details, including the supporting statements (please note attached CVs and personal statements will not be seen by the recruitment panel at the application stage). Current
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, candidates must evidence each of the essential criteria required for the role in the person specification below. It will be at the discretion of the recruiting panel as to whether they will also consider any
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radioligand-resistant cell line panels Clinical patient tissue samples for mechanistic validation via multiplexed immunohistochemistry and single-cell sequencing Collaborative Environment You will join an
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contribute to research on applied machine learning methods that support robust decision-making under uncertainty. This may involve working with structured datasets, panel data, text data, regulatory documents
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, in Portugal or abroad. 5.3— The five-year period mentioned above can be extended by the panel if requested by the candidate, whenever the suspension of scientific activities is reasoned by socially
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months ago, IMPREG signature) for precision immuno-oncology panels. Preferred qualifications: Ph.D. in bioinformatics, computational biology, computer science, statistics, or a related field. Strong programming skills
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data analysis and prepare reports/manuscripts. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: Must hold PhD in immunology. Experience with multicolor flow cytometry panels. Experience
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focus on quantitative methods Excellent skills in quantitative methods. Expertise with panel data analysis, multilevel models and/or causal inference is an advantage Interest in one or more of the
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and
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, life course research, wellbeing/health Extensive expertise in the field of quantitative methods, particularly in the areas of panel data analysis and causal inference; experience with Austrian register