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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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. python, bash, matlab) Good administrative skills, and the ability to organise and prioritise workload Excellent interpersonal, oral and written communication skills Ability to work independently and as
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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of programming languages (e.g., Python or R)We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
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posting on the bulletin board and the institution’s website. Additional comments Topics: Qualitative and quantitative research skills; Data processing in R or Python; Multifactorial experimental designs
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. Knowledge, Skills & Abilities : Strong programming skills (Python required; Java/Android or App Inventor experience desirable). Familiarity with statistics and machine learning methods. Interest in
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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 4 days ago
autonomy, in microscopy techniques such as live-cell imaging; Good analytical skills, critical thinking, and problem-solver mindset; Knowledge of Python programming language; Excellent oral and written
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar