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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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., fluorescence and confocal microscopy), as well as organoid-based disease modeling is an advantage. An interest for software-based analysis and ev. R-programming is welcome. We welcome applicants who are detail
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
USNH Employees should apply within Workday through the Jobs Hub app The Classics Program of the Department of Classics, Humanities & Italian Studies at the University of New Hampshire invites
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new £7m EPSRC funded Programme Grant that brings together a team of researchers from the universities of Durham, Leeds and Manchester investigating the formation of Molecular Solid Solutions (MoSS
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research group to study novel aspects of immunometabolism, tumor-immune cell interactions at the primary tumor and systemic sites in pancreatic cancer. Our state-of-the art research program utilizes
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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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underpinning a new national screening program for type 1 diabetes in children Academic Level A from Base from $89,831p. a (Pro Rata) and Level B Base Salary from $127,436 p.a. (pro‑rata) + 17% superannuation
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Work with others to maintain a high level of scientific productivity