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forward to welcoming a new colleague who will contribute to transformative projects and help accelerate the transition to a more sustainable and resilient society. Salary and terms of employment
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contribute to transformative projects and help accelerate the transition to a more sustainable and resilient society. Salary and terms of employment The appointment will be based on the collective agreement
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operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing libraries (numpy, scipy, JAX…) and machine learning libraries
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mathematics, or a related area. The ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph transformation, algorithm engineering. Applications
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with machine learning, specifically deep learning (Transformers, RNNs, CNNs, etc.), and XAI techniques. Experience with collaborative, cross-cultural research environments. Who we are At the Department
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with machine learning, specifically deep learning (Transformers, RNNs, CNNs, etc.), and XAI techniques. Experience with collaborative, cross-cultural research environments. Who we are At the Department
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, electrical engineering, communication engineering, computer science, or a related field. Documented experience with deep learning techniques (e.g., CNNs, Transformers) Strong programming skills in Python and
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resource recovery pipelines You will contribute to the translation of structural and biophysical insights into technologies or methods for transforming recovered biopolymers into valuable products or process
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the transformational capabilities of students, graduates and business leaders via our educational activities and opportunities for lifelong learning. Complex challenges call for joint action, and therefore our strategy