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Philosophy of law, Legal theory, Ethics, International law, European law, Comparative constitutional and Administrative law Basic experience in academic writing and with research methods Very good computer
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interested in an international research orientation. You have obtained didactic competence. Ideally, you have experience in research-oriented university teaching. Excellent computer literacy Excellent command
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scanning, geometric morphometrics, digital recording and analysis of behavioral observations, as well as the application of experimental, field-based and computer-assisted methods will be taught. In the area
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the Bachelor's program Biology and in the Master's program Cognition, Behavior and Neurobiology (in English). You will also teach basic qualitative and quantitative methods to Bachelor's and Master's students
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Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s
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Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s
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support you in starting a doctoral program: Through our AIT PhD program , conducted in collaboration with renowned universities, you have the opportunity to complete your dissertation in cooperation with
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to different situations. You will broaden your knowledge and skills in the field of motion planning, machine learning, computer vision, and automation & control theory. You will train in scientific work and have
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As Austria's largest research and technology organisation for applied research, we are dedicated to make 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 and technology...
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Research Engineer (f/m/d) for AI-Driven Knowledge Management for a Sustainable and Resilient Society
Ingenious Partner: Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar Strong knowledge in AI/ML frameworks (e.g., TensorFlow, PyTorch) and