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: https://sites.google.com/view/qlmgroup/home Information about the group leader: https://sse.cuhk.edu.cn/en/faculty/sanjibghosh The Chinese University of Hong Kong, Shenzhen is established in accordance
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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dashboards • Design and implementation of a web dashboard for visualizing energy consumption on an urban scale. • Use of tools such as Python (Dash, Flask), JavaScript, Plotly, Mapbox, Leaflet, or equivalent
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degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer
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to candidates with knowledge of Python programming. Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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software as python packages Report findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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learning pipeline in Python (using e.g. PyTorch) - validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) - publication and presentation of your
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with emerging memory devices Experience with simulation tools (LTspice, Cadence, MATLAB, Python) Interest in brain-inspired computation, energy-efficient hardware, and experimental validation Ability
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. Good programming skills (Python and C/C++ preferred). Proficiency in English and excellent communication skills and teamwork. Work Plan: The selected candidate will join the Intelligent Systems Group and