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mathematics, signal/image procesing, machinelearning/deep learning and computer science. It will be an advantage to have: Scientific programming proficiency in Python, knowledge of deep learning libraries in
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, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic or seismic data) in the context of geosteering. The specific tasks
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PhD project. In addition to electromagnetic geophysics, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic
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of accession in the position. About the PhD-project A rapid evaluation of cell and tissue samples is essential for diagnosing and commencing treatment in patients with suspected leukemia, multiple myeloma
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modelling physics of water flow map data will be considered an advantage when candidates are ranked. Experience with scientific programming using Python, MATLAB, C++, Julia, or similar is a requirement
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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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is also expected to re-implement historical narrative systems in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship
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Programming languages such as Python, C++, Julia or similar as well as excellent English-writing and -speaking skills Furthermore, experience within: Knowledge of Hydropower planning and hydrology Graph neural
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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