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engineering. We develop cutting-edge technologies, promoting the sustainable and economical use of resources, and meeting the technological demands of Luxembourg, the Greater Region, and beyond. Nearly all
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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expertise and experience to lead research projects to design, develop and enhance AI/ML algorithms and models using extensive healthcare data sets. The successful candidate will ensure models
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development of a collegial, open culture, research integrity and ethical practice. You will also mentor the development of junior staff as required, supervise students and support aspect(s) of management
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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Multiple Faculty Positions - Computational Biomedical Science, Center for Computational Life Science
as the leader for a new ecosystem for computational life sciences, focused on advancing computational biomedicine through the development and application of scalable tools and techniques fit
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, synchrotron radiation, and electron microscopy; Super-resolution fluorescence microscopy and its applications. New in-situ and operando characterization method development for synchrotron radiation and X-ray