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Field
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to identify novel targets for diagnostic use and therapeutic intervention. Fellows will work on research problems using rich data sets and leading-edge analytic approaches supported by multiple NIH grants (R, U
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programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch Familiarity with image processing libraries and a solid grasp of deep learning
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transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
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challenges. It fosters collaborations and develops advanced computational tools through a hub for multi-omics and systems biology. Project description The PhD project aims to explore how multiple layers
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description The PhD project aims to explore how multiple layers of gene expression regulation—including DNA packaging, transcription initiation, and translation—interact to control gene activity. Using
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Open Source Geospatial software and libraries, e.g. GDAL or other open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial
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for use across grid levels. Market-based flexibility for use across multiple grid levels. Qualifications Eligibility Requirements: A Master’s degree equivalent to a Norwegian master’s degree (120 ECTS
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, or a related field Work Experience: 0-3 Years Skills: Strong command of GNU/Linux systems and toolchains, expert level knowledge in R, strong experience in one scripting language like Perl or Python, and
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marine or coastal related science, engineering or geosciences. Required Certification, Licensure/Other Credentials Preferred Qualifications High level knowledge of multiple computer languages, math, and