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at a competitive salary and will follow the PhD study program at the Faculty of Science . Candidate Profile An ideal candidate has a background in/or experience with one or more of the following topics
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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and
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and characteristics: Master’s degree in Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence, or a closely related field. Strong programming and system integration skills in
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of the period.(the 5+3 program ). Further information about the PhD programme at the Faculty of Science can be found at the homepage of the University . The University wishes our staff to reflect the diversity
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English proficiency *Note that the candidate must have completed the equivalent of 300 ECTS to enroll. If the candidate has completed a 1-year (rather than 2-year) master’s degree, then they will typically
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duration of 3 years. Applications for a 4+4 PhD programme are also welcome. The proposed starting time is spring 2026, with some room for flexibility. The appointment will be made at a competitive salary and
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three years. Employment stops automatically at the end of the period.(the 5+3 programme ). Further information about the PhD programme at the Faculty of Science can be found at the homepage
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. Further information for international applicants about entering and working in Denmark. For further information about the PhD program at the department, read here: https://sdunet.dk/en/enheder/institutter
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
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to develop circuits that convert analog neural signals into digital or event-based outputs (e.g., spike-compatible signals) suitable for a neuromorphic backend. Note: This position does not involve designing