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that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. About the research project You will work in
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activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind modelling. Key tasks and responsibilities: Develop and implement
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a PhD student Our group and research You will join a dedicated research team focused on machine learning applications in crystallographic method development and applied structural science on
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Human-Centered Artificial Intelligence and the SLAC Machine Learning Program. KIPAC also has strong ties and active collaborations with theorists at LITP @ Stanford and SLAC. The positions offer a
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Matter of Viral Genomes” // Joint Event between the Microbiology and Genomes & Genetics departments Event C2RT Seminar Event Thursday, July 12 : Presentation from Zeiss compagny on “Machine learning
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intelligence, machine learning, and digital forensics. The successful candidate will join a research initiative conducted in close collaboration with a partner, with the aim of strengthening digital
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systems. Apply AI as an engineering tool: Use signal processing, statistical methods and machine learning techniques to simplify sensor calibration, analyze measurement data and develop adaptive algorithms
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. We are seeking a highly motivated AI Scientist (f/m/x) (best: Computational Pathologist / Machine Learning Scientist for Digital Pathology) to join our efforts in developing AI-driven virtual
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Apply now » Internal Research Fellow (PostDoc) in Theory of Deep Learning Job Requisition ID: 20829 Date Posted: 5 August 2026 Closing Date: 2 September 2026 23:59 CET/CEST Publication: External
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental