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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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; and an environment characterized by strong internal and international collaboration, the applicant is expected to establish and maintain an independent research program in inorganic materials
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relationships in the workplace. You are well organized and able to plan and manage your work effectively to meet agreed deadlines. At the same time, you are meticulous and quality-conscious, with a strong focus
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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tissue formation, and limited spatial precision. Building on our recent advances in enzyme-triggered electrode fabrication in living systems (Strakosas et al., Science, 2023, https://doi.org/10.1126
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well as within security for critical infrastructure. More about research and eduction in cybersecurity at Linköping University is found here: https://liu.se/en/research/cybersecurity As Assistant professor in
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: Production Economics (PEK) - Linköping University The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty
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applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable. The successful candidate is expected to be fluent in English and open to both national and international
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to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University The employment has a duration of normally four years’ full
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assessed: Required: Extensive programming experience in data analytics and artificial intelligence. Particularly meritorious: Expertise in software development, especially in Linux environments. Meritorious