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Field
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the Information Science Division of the Applied Research Laboratory (ARL) at Penn State. In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and
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the industry, such as administrative automation, predictive analytics, and algorithms specific to diagnoses and treatment Strong communication skills, including creating feedback and communication that is clear
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the advertisement apply to people of all genders. About the programme/project/undertaking Title of programme/project/ undertaking: Algorithmic challenges of molecular evolution. Type of programme/project/ undertaking
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Cancer Institute seeks a Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research (https://gillanilab.dana-farber.org/). The Computational Biologist will work on the analysis
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, develop, and evaluate predictive models and algorithms that lead to optimal value extraction from the data. Evaluates and implements novel approaches to address aims and milestones to multilayered datasets
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analyse observational/real world data to develop mapping algorithms between health outcomes (such as EQ-5D) and measures of wellbeing/independence. You will apply these mapping algorithms to expenditure
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-performance computing (HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. Duties
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) Established Researcher (R3) Application Deadline 1 Sep 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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2027 - 02:13 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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: algorithm design for the interpretation of measurements, designing algorithms for deciding which experiments to perform, communicating with the instruments, orchestrating the steps of the research campaign