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-based imaging techniques (TEM, fluorescence, histology etc.) Successful grant applications Experience in Python programming Having worked on diverse science projects, in international surroundings
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and analysis of wireless communication systems. This also includes experience of the software tools used, such as MATLAB or Python. Knowledge in electromagnetic wave propagation and wireless channel
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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms
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one or more of the following areas: Advanced computational design with Grasshopper. Programming (e.g. Python, C#). Robotic fabrication, digital manufacturing and 3D printing with sustainable materials
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performance are expected. Required qualifications: Proficiency in programming (primarily Python or MATLAB) Strong communication and collaboration skills, including the ability to work across research groups and
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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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merits; Demonstrated experience of using computer programming languages (UNIX command line and R/python) for multi-omics data analysis. Experience in mentorship of students will also be a merit. Experience
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Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support
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of or experience with programming languages and modelling tools such as Python, Fortran, ANSYS, StarCCM+, and OpenFOAM Collaboration and Communication Interest in collaboration with the wider community and the
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neoantigen targeting. Substantial experience working in bash scripting and HPC Linux/Unix environment. Proficiency in programming (preferably Python, SQL, groovy, R, html, JavaScript, and bash). Good knowledge