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Field
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, or space systems, combined with an interest in communication networks. Applied Physics or Physics, particularly if you enjoy applying fundamental concepts to real-world engineering challenges. Computer
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful
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provides flexibility for the successful candidate to shape the research direction within the broader topic Research Objectives and Contributions RO1: Develop methods for modelling dependencies and cascading
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degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Extensive
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and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. Will you need
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Be flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a
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motivation for the subject Analyze data, assess different perspectives and draw well-founded conclusions Be flexible and open to adjusting the plan for the project as needed Collaborate and communicate
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force in higher education and research. Its Department of Electrical and Electronic Engineering has approximately 95 academic staff, split across a number of research groups and is one of the largest