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applications for a joint professorship under the Jülich Modell with the Hasso-Plattner-Institut für Digital Engineering gGmbH (HPI) to be filled as soon as possible: Full Professorship (W 3) for Software Testing
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project and joining Dr. Jordi Cabot’s team (20+ members). BESSER is aimed at building better smart software faster with a combination of low-code / model-driven and Artificial Intelligence techniques. As
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presence in Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/22172979/research-software-engineer-x28-data-science-and-ai-institute
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Position Specific Required Qualifications: PhD degree in Mechanical Engineering, Energy Engineering, Thermal Engineering, Chemical Engineering, Physics or a closely related field with a strong focus on
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0
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, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr Inaki Esnaola, Dr Javier Dominguez-Caballero, Dr Rob Ward, Mr David Wilkinson Application Deadline
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, with at least one year of professional experience; or a PhD in one of these areas with demonstrated expertise in programming and semantic web technologies. Experienced software developer – You have
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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Computing with subjects across Computer Science, Philosophy and Statistics including software engineering, computer systems, cybersecurity, databases and data engineering, ethics and artificial intelligence
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, Software Engineering, Physics, Chemistry, Materials Science, Biology, or equivalent Five (5) to 10 years of experience (inclusive of PhD and/or post-graduate work) in research and development, preferably