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AI:AT – the AI Factory Austria– is making Austria a hotspot for Artificial Intelligence in Europe. AI:AT is a joint project of AIT and Advanced Computing Austria. It brings together top-level expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an...
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As Austria's largest research and technology organisation for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development...
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Functional cookies CSRF (Cross Site Request Forgery) Protection Cookie This cookie is necessary for security reasons to prevent CSRF. Authentication session cookie When creating an applicant profile during a first application or when a user logs in with his or her profile an authentication...
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Partner: Master's studies in the field of molecular biology, microbiology, chemistry / biochemistry, biotechnology or similar Good knowledge in Microbiology and Genetics, ideally regarding aptamers and
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, civil engineering, mobility management, or related disciplines. Good knowledge of software development, especially in data analysis in Python (e.g., Pandas, NumPy), visualisation (e.g., Matplotlib, Plotly
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Scientist (f/m/d) for System Transition Modelling & Policy (Full time / Part-Time: 25+ hours / week)
transformation. Your qualifications as an Ingenious Partner: PhD inrelevant social, economic, data science or related fields Interdisciplinary knowledge of transformation-oriented research, and in particular
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the agricultural or food sector Knowledge and experience in technological processes Excellent written and spoken German and English skills Strong team spirit, commitment, a responsible approach to work, as
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forklift in AITs Large-scale Robotics Lab. You will broaden your knowledge and skills in the field of motion planning, ROS integration, and automation & control theory. You will train in scientific work and
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programming skills in Object Oriented Programming; Functional Programming and scripting languages are an advantage Knowledge of distributed systems and API development, and/or database systems, and/or frontend
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area