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management and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in
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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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, computational biology, computer science, data engineering or a related field. • Experience designing, deploying and operating large-scale genomic or biomedical data processing infrastructures
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Information Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment
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verified formally. You will publish and present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in
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Willingness to work in a multi-national team Willingness to travel Computer/software skills: Proficiency with Microsoft Office Familiarity with K-layout, COMSOL, Lumerical Languages: Working
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D
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facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods
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Engineering, Manufacturing Engineering, Materials Science, Computer Science, Data Science, Software Engineering, or a similar degree with an academic level equivalent to a two-year master's degree. We offer