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Do you want to learn how to do machine learning on a real quantum computer, with application to real problems from Life Science? About us The Wallenberg Centre for Quantum Technology (WACQT ) is a
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the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies
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promoted to a tenured position as a senior lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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Experience in groundwater modeling. Strong skills and experience with GIS platforms (e.g., ArcGIS, QGIS) and spatial data processing. Skill and experience with machine learning. Have a publication track record
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in the area of computer science or computer engineering In addition to the above, there is also a mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a
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and supervise PhD students. The department has developed several courses within data science, e.g., Bayesian methods, Advanced Machine Learning, Deep Learning and AI methods. You are expected to teach
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data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
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that are commonly used today. Using the improved noise models, machine learning methods will be used to enhance the segmentation of EEG data into auditory signal and background activity allowing for refined control
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, for that reason we are looking for someone who has: Documented research experience in the design of therapeutic antibody modalities Documented research experience in AI/machine learning/deep learning Documented