48 python-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Denmark
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- Experience with python, C or scripting - Experience with machine learning - Experience with drone related activities For further information about the position and the application procedure, please contact
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Solid experience with statistical modeling, machine learning, or AI Practical skills in R and/or Python for data analysis and model development Familiarity with microbial ecology, genomics, or food safety
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scientific computing and programming using Python. Good communication and language skills (the project language is English). Good teamworking skills (the project is carried out in a team of 4-6 people
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scientific computing and programming using Python. Good communication and language skills (the project language is English). Good teamworking skills (the project is carried out in a team of 4-6 people
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have: good knowledge of quantum mechanics knowledge of electromagnetism and solid-state physics experience with scientific programming with e.g. Python, Matlab, Julia experience with writing a scientific
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across the centre, and we expect you will work closely with many different groups along with working independently on various development tasks. Our expectations of you Your overall focus will be
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supervisors, from different universities: Dr. Georgios Tsaousoglou at DTU, and Dr. Maryam Kamgarpour at EPFL, Lausanne, Switzerland, with the opportunity to undertake an extended research stay at EPFL. Project
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for loading LLMs; Experience with Cloud Platforms (Google Cloud to be preferred); Advanced Python programming, including developing course material and exercises for chemical engineering subjects; Experience
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imaging, especially in vivo imaging Coding experience in Matlab, Python or R Record of first-author publications or preprints Success in competitive funding schemes/awards Experience with inflammatory
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pump-probe technique, photophysics, or optical characterization of nanomaterials is highly desirable. Familiarity with programming for instrument control and data analysis—using platforms such as Python