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in DICOM format and applications in pathology are welcome. The applicant ideally has a track record in interdisciplinary collaborations. Solid experience in programming, mainly python is expected
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field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required. Experience
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computations using the Python-based Taskblaster workflow framework. CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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development section, specifically: Develop and maintain custom Python graphical user interfaces that enhance the usability of the group’s research tools. Optimize data workflows through efficient data
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media Experience with microscopy and image analysis (e.g. ImageJ, Python, MATLAB) Ability to work independently and collaboratively in an international research environment As a formal qualification, you
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of tools such as R, Python, GIS, Git or similar data-science software. Solid experience with community data and biodiversity monitoring. A broad ecological background, ideally including plants and
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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
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, material processing, and/or atomistic simulations is an advantage. Excellent analytical skills and proficiency in scientific programming (e.g. in python) are an advantage. Excellent oral and written
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sciences Strong background in deep learning, with experience in probabilistic models (e.g., Variational Autoencoders, Bayesian approaches) Proficient Python programming for machine learning and scientific