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or more of the following programming languages/environments: Unity/Unreal, C/C++, C#, Python Basic understanding of the artificial intelligence and machine learning fields. Place of employment: Karlskrona
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provided that they do so within two years of employment or that they apply for validation of prior learning. Proficiency in spoken and written English is required. Proficiency in Swedish is usually another
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computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization or statistics) or integrating data-driven applications to address
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the backbone of contemporary machine learning, yet conventional training methods often overlook the rich problem geometry that, when properly exploited, can enhance performance. In this project, we will, e.g
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to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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leadership skills A strong quantitative background, preferably in machine learning or (Geo) AI Good communication skills Very good oral and written English language skills An international position in
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policies and programmes. These responsibilities include programme review and improvement, accreditation and self-evaluation, assessment of student learning and advancement of student success, academic
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policies and programmes. These responsibilities include programme review and improvement, accreditation and self-evaluation, assessment of student learning and advancement of student success, academic
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CAD, machine elements, solid mechanics, materials engineering, design - Supervision of students and PhD students - Collaboration with external academic and industrial partners - Contribution