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at undergraduate and master’s levels, primarily in data science, machine learning, and AI programming in Python, including lecturing, supervision of student projects, course development and examination. Scholarly
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scheduling systems. Basic programming skills in Python are required, as well as experience working with biological or biomedical datasets. The successful applicant should demonstrate the ability to work both
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks - Documented several years of experience in systems development with Python and
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experience (preferably in Python or MATLAB) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension
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, neuroscience, electrical engineering, or a related field, hands-on experience with neural recording and/or stimulation techniques, signal processing, and data analysis (e.g., MATLAB or Python), experience
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, Applied Physics, Nanotechnology, or equivalent. Strong programming skills in high-level languages, specifically Python. Good verbal and written communication skills in English. A collaborative attitude and
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. Uppsala has two universities and with more than 50,000 students, a vibrant reserach-oriented student atmosphere. More information about the department/division: https://www.slu.se/institutioner/vaxtbiologi
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the undergraduate and graduate levels. Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in-software-engin… Requirements Research FieldComputer science » Computer systemsEducation
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Background and description of tasks Our group develops new single-cell multiomic methods to characterize microbial