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skills with considerable experience with programming with python. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience
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charge detection. More information can be found at: www.ftf.lth.se , www.nano.lu.se https://portal.research.lu.se/en/persons/ville-maisi Subject description QPHOTON’s aim is to design, fabricate and
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been completed earlier. Additional requirements Very good oral and written proficiency in English. Experience of programming, for example in Matlab, Python, Julia or R. Assessment criteria This is a
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with high-performance cluster-based computing Competence in computational programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git
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simulation tools, such as MATLAB and Python. Ability to work both independently and collaborate in teams. Consideration will also be given to how the applicant’s experience and skills complement and strengthen
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complemented with bulk and single cell RNAseq data from relevant tissues to investigate T2D pathogenesis and its early life programming. Read more about the research here (https://portal.research.lu.se/en
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to work independently and effectively Good command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge