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, developing pixel detectors for high-energy physics, telescope cameras, medical imaging systems, and other scientific and industrial applications. We are seeking an outstanding candidate—creative, analytical
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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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translation of analytical outputs into forms that can meaningfully support decision-making within food industry contexts. Objectives: Approaches for integrating information of different nature (e.g., real-time
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development of analytical solutions, data analysis and machine learning. Candidates should have a demonstrated record of scientific publications in international journals and participation in conferences
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the interplay between mutations, energetics, and evolutionary constraints, including epistatic effects. · Developing or applying machine learning approaches to predict or redesign frustration patterns in proteins