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This project is a collaboration with the Centre for Renewable Energy Solar Technology (CREST) at Loughborough, who are experts in thin-film solar cell fabrication and advanced characterisation
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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professional qualification/experience. Ideally with a good publication record. Experience required in advanced electrical characterization of wide/ultrawide bandgap devices. Desirable experience in interfacing
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degree (e.g. degree in Molecular Biology, Genetics, Biochemistry neuroscience). Extensive hands-on experience with in vitro culture of neural cells with good aseptic technique. Previous experience with
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author
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characterization methods; knowledge of photochemistry, redox chemistry, or photocatalysis; experience in device fabrication and testing in organic electronics; good ability to communicate in spoken and written
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complex data analysis; Experience in data collection, analyses, management, and visualisation for the purpose of drafting/finalising funding proposals/research is preferred; Good analytical, communication
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of experimental setups Good skills in communication of research results & publication experience Ability to work in a team - collaboration and/or management skills Ability to work independently Who we are Aarhus
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of experimental setups Good skills in communication of research results & publication experience Ability to work in a team - collaboration and/or management skills Ability to work independently Who we are Aarhus
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links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research activities and approaches