213 application-programming-android positions at Technical University of Munich in Germany
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Freising, Germany Severely handicapped persons will be given preference in case of essentially equal qualification The TUM aims to increase the proportion of women in its staff; applications from women
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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Enrollment as a doctoral candidate in TUM IGGSE, with extensive training program Interested? Then we look forward to receiving your application; please send them by e-mail to jobs.ens@ed.tum.de with “PhD
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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instruments at FRM II. You will actively participate in R&D programs aimed at exploring novel detector concepts for neutron scattering applications, conducted within an international framework. You will enhance
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references' contact information, and a desired starting date. Provide evidence of your programming skills (e.g., GitHub repository) if possible. Applications will be reviewed on a rolling basis until the
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programming and experience in mentoring and/or supervising co-workers are highly desirable. A genuine interest in the subject matter (food science and multiomics), solid English language skills, self-motivation
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Design and realization of relevant simulation pipelines: from real-world data to mathematically and (e.g., clinically) applicable results Publication of results in scientific outlets (journals, conference