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distributed MIMO-systems for demanding applications, applicable beyond the XR-application in focus, where high-level models of semiconductor sub-systems is used to optimize an entire system. From a theoretical
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kind in Sweden and, together with MemLab – the industrial membrane process research and development centre – offers excellent infrastructure for developing and optimizing membrane processes from lab
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contribute to the continuous development of the beamline and help users to optimally use the possibilities offered. You will be part of the team developing and operating MicroMAX and work in a group of
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macromolecular modeling: Investigate electronic, optical, molecular, and transport properties of soft materials, including conductive and semiconductive polymers, biopolymers, and macromolecules, to optimize
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computational methods for design, dimensioning, sensitivity, robustness, optimization, automation, feedback control, etc. Development of process engineering applications that demonstrate model-based methods but
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central role in streamlining and standardizing the design flow for quantum device fabrication. This includes implementing and improving design rule checks (DRC), optimizing and debugging code, and
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genetic data (e.g. from genotyping). You will implement and evaluate selection methods: Test and optimize new methods for precision breeding in practical or simulated improvement programs. You will work
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Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
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-driven development and optimization of the loading and transport systems in underground mines, including adaptation of systems to different loading conditions as well as bucket scanning, bucket filling
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polynomial equations, and optimization. In this project, we will also explore new methods for 3D modeling and sensor position estimation that operate directly on sensor data. Here, we will also use new so