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for research. What we are looking for MSc in computer science, statistics, or a related quantitative field Proficiency in Python and experience with PyTorch, TensorFlow, or JAX Demonstrated ability to complete
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, psychometrics – especially in dealing with violations of measurement invariance, as well as extensive computer programming experience in R and Python. Given that the project lies at the intersection of psychology
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days ago
application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); Curriculum Vitae; motivation letter; academic degree certificate, where applicable; proof of enrollment at an academic
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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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such as XBeach, SWASH, Watlab or CFD modeling is an asset Programming skills (Python, C++, MATLAB, or Fortran) are required Excellent analytical and problem-solving abilities along with a good team-spirit
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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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-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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
the duration of the initial contract. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros
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of visualisation, machine learning / AI, and human-computer interaction Very good programming skills (web-based visualisation, Python, and/or GPU programming) First experiences in the participation in research
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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