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, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills Proficiency in at least one programming language (Python, C++, …) Keen interest in
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, especially Python/ Matplotlib, is an advantage Independent, structured and responsible way of working, commitment, high degree of teamwork skills, and enjoyment of cooperative collaboration Interest in
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to the overall goals and objectives of SHIELD; publish your research findings in peer-reviewed scientific journals; write a PhD thesis for defence at the Vrije Universiteit Amsterdam. Where to apply Website https
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. - Hardware (opto-electronics) and software - Optical alignment - Model and biological sample imaging - Microscopy knwoledge - Optical imaging (theory and experiment) - Programming (Labview, Python/Matlab
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-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is desirable but learning can be completed during the PhD. Excellent
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: RNPUs, Nature 577, 341-345, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Where to apply Website https
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop
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reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD and contribute to applied AI
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administrative and technical services—all within a setting that offers attractive employment conditions. To learn more about the department, please visit: https://www.umu.se/en/department-of-computing-science
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization