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technical expertise but must also contain a well-defined training element and a qualification plan must be established for the scholarship period. Biostatistical competence and experience in working with
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. This position is part of the Wallenberg Initiative on Networks and Quantum Information (WINQ), supported by the Knut and Alice Wallenberg foundation (KAW). Main responsibilities The position involves carrying out
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quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Building quantitative models: Using high-throughput binding data
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for cancer research and diagnosis as well as graph neural networks for microscopy. Main responsibilities The position involves taking an active part in CMCB lab’s daily research. The succesful postdoc will be