224 application-programming-android-"Prof" positions at Technical University of Denmark in Denmark
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Job Description The Department of Health Technology at the Technical University of Denmark (DTU Health Tech) invites applications for a PhD fellowship in the field of RNA therapeutics and
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technologies that are redefining how we build with sustainable materials. We invite applications for a PhD position in Circular and Automated Earth Processing for Sustainable Construction at the Section
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live neurons in real-time. You will also have the opportunity to carry out measurements of magnetic properties yourself, if you so desire. Qualified applicants must have: Enthusiasm for contributing
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Job Description Real-time systems need to guarantee the timely execution of tasks. Furthermore, the whole system (processor, compiler, application software) needs to be analysable for the worst-case
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programme, please see DTU's rules for the PhD education . Assessment The assessment of candidates will be performed by Professor Bengt Johansson, Project leader of the AI controlled engine project and future
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members. You will collaborate closely with immunology research groups and external stakeholders to align the yeast engineering with direct applications and emerging needs in immunological research
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offer computational efficiency and the ability to handle uncertainties. This project aims to identify promising RL-MPCs for application and upscaling in real-life building management settings. As PhD
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms