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. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching
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. The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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degree in molecular biology, biophysics, nanotechnology or another relevant field. The applicant must be fluent in written and spoken English and have a proven capability for independent thinking
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. Demonstrated skills in computer programming and analysis of complex data sets. Excellent English language and communication skills (written and oral), critical thinking, instrument trouble shooting. Good
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structure and function Biofilms and EPS Excellence in both written and spoken English As a group member you will be expected to be a team player, where you contribute to student co-supervision, teaching and
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oriented focus. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
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environmental datasets (e.g., topography, land cover) Strong programming skills in Python, including experience with scientific computing libraries Strong publication record relative to career stage Excellent
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(e.g., CNNs, UNets, Transformers) Proficiency in working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and experience with deep learning frameworks