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Job Description The Machine Learning in Photonic Systems group at DTU Electro at the Technical University of Denmark is seeking a candidate for a PhD position to research multiplexing in photonic
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biology, or analytical workflows. Interest in single-cell analysis, cancer biology, and translational research. Basic level expertise in computational biology (e.g., bioinformatics, machine learning), with
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processing and hybrid BCI design Machine learning (ML) Bioinspired control systems Neuroplasticity and motor recovery Real-time control of soft exoskeletons Your Role As a PhD candidate, you will: Develop and
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speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
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. The page may be updated with new areas until the deadline for application. Beyond the research conducted during the PhD project, a successful candidate is expected to teach three to four hours weekly during
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, fibrosis, or pediatric diseases (prior experience is an advantage but not required) Experience with or willingness to learn biomarker analyses (e.g. ELISA), histological techniques, and molecular assays
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robotic systems (e.g., ABB, KUKA, or UR). You have practical experience with machine development, material testing, mechanical characterization, or process parameter optimization. Furthermore, it is an
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. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation
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and workshop facilities, and a collaborative environment that supports innovation, knowledge sharing, and professional development. Learn more about AAU Energy at www.energy.aau.dk. How to apply Your
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languages such as MATLAB or Python is necessary as well as excellent communication skills in English. Candidates with sufficient proficiency in Danish to teach at the Bachelor programme are preferred