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sequencing-based methods for immunological characterization. Fluent oral and written communication skills in English. Preferred selection criteria A strong background in imaging techniques and proteomics
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thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and
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, Chromatin Immunoprecipitation (ChIP-Seq), gene knockdown, immunoprecipitation, CRISPR-Cas9, drug screens, Fluorescence In Situ Hybridization and confocal and live-cell imaging. More about the position We
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, CRISPR-Cas9, drug screens, Fluorescence In Situ Hybridization and confocal and live-cell imaging. More about the position We are looking for a highly competent candidate with strong experimental background
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written and oral English. Experience from one or several of the following areas is an advantage: Programming, image processing and machine learning. Magnetic Resonance Imaging. Laboratory experience from
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of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and machine learning Personal and relational qualities will be emphasized. Motivation
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/Artificial Intelligence methods for automatic interpretation/classification of the RIMFAX radar images. Retrieval of geophysical parameters, such as dielectric properties, from RIMFAX data. Dissemination
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demonstrate good collaborative skills. Applicants must be proficient in both written and oral English. Experience from one or several of the following areas is an advantage: Programming, image processing and
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be proficient in both written and oral English. Experience from one or both of the following areas is an advantage: Modelling and simulations of flow in porous media. Programming, image processing and
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to established researchers, across machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department