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. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio
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, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio, acoustic, and
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interest and solid foundational knowledge in at least one of the research projects Proven competence in computational design workflows, particularly in Rhino and Grasshopper Knowledge of Python, C#, finite
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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) Experience with plant biochemistry, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2
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Multiphysics, MATLAB, or Python Familiarity with device-level simulations and multi-physics approaches Self-motivated and able to work independently while contributing to a collaborative research environment
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(https://www.classique.aau.dk). CLASSIQUE will address a suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources
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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