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-phase fragmentation mechanisms and ion chemistry Interest in computational proteomics, spectral library development, or fragmentation modeling Programming/scripting skills (e.g., Python, R) for data
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Intelligence, or a closely related field Solid experience in one or more of the following: NLP, speech processing, human-AI interaction, or agentic-AI systems Strong programming skills in Python and familiarity
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neuronal network models to simulate spinal motor function. Use computational tools (e.g., Python, MATLAB, NEURON, or Brian2) to create biologically plausible models of spinal circuits. Validate models by
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background in robotics, autonomous systems, and/or control theory. The candidate should have good programming skills in Python and/or C++, and prior experience with robotics software frameworks such as ROS/ROS
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. sonar, DVL, SBL, IMUs, pressure sensors) is particularly relevant. Technical computing skills: Proficiency in programming (e.g. Python and C++). Familiarity with robotics software frameworks such as ROS
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and Memorial Sloan-Kettering Cancer Center, NY. Read more about the project here: https://health.medarbejdere.au.dk/en/display/artikel/supercomputer-and-ai-to-strengthen-danish-cancer-treatment-new
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. Demonstrated experience with ontology development, and formal knowledge representation (e.g., OWL). Familiarity with at least one major ontology editor (e.g., Protégé). Proficiency in Python Basic understanding
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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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@au.dk) Applicants must have a relevant PhD degree in biology, biogeochemistry, hydrology, glaciology, oceanography, geoscience or physics. Field experience, data analysis and programming (e.g., python
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advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https