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; additional experience in one or more of the following areas is highly desirable: stochastic simulations quantitative genetics breeding programs working with Linux and HPC systems For this position your command
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is highly desirable: big data analytics quantitative genetics variance component estimation working with Linux and HPC systems For this position your command of the English language is expected to be
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
; proficient with Unix/Linux. Experience with deep learning, statistical modeling, or AI applications to biological data. Familiarity with transcriptomic technologies, ideally single‑cell RNA‑seq or long‑read
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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programming (e.g., Python) and working with Linux/Unix environments. Solid mathematical/statistical skills. Preferred/desired qualifications Experience in applying for ESA projects, Horizon Europe, and similar
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to extract structural and energetic insights Familiarity with assembling complex molecular systems and integrating heterogeneous data sources Solid knowledge of Linux environments, including experience with
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proficiency with basic computing packages such as MS Word and Excel and will have some familiarity with one or more of the following (Linux, MATLAB, SPM, FSL, fMRI). Strong interpersonal skills, prior research
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://github.com/open-sdr/openwifi ). You are also encouraged to design higher networking layer functionality and driver in Linux environment, to fully exploit the distributed MIMO and coordinated multi-AP feature
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attitude. We consider it a plus if you bring the following: experience with microscopy and molecular biology techniques; programming skills (e.g. good command of R, basic command of Linux); affinity with
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/modification, translation). • Comfortable in a Linux/Unix environment; basic shell scripting and Python or R skills. • Strong quantitative mindset and motivation to develop analysis pipelines for NGS and