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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R
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study to be used as parameters in the model. 4) Model Implementation: Implement the model in Python, perform testing, and validate its performance based on the collected data. Applications must be
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experience working integrated in or with H2020 or Horizon European projects; Knowledge of python. LanguagesENGLISHLevelGood Research FieldEnvironmental scienceYears of Research Experience1 - 4 Additional
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programming languages in R/Python – information provided in the CV and/or motivation letter; Proven prior professional experience in processing long-term environmental time series – information provided in
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | about 2 months ago
international circulation. International Profile. Be proficient, speaking and writing in English. Technical skills including: experience with Python (Pandas, Numpy, Matplotlib, etc.); experience with popular
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
in association or cooperation with one or more R&D units, or be enrolled at the date of signing the scholarship contract in a doctoral program; c) proficiency in Python and/or C++. Additional
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background in Computational Fluid Dynamics, should be familiar with High Performing Computing, including coding in CUDA, and should have knowledge of C++, Julia and Python; d) Ability to work both
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analysis and data processing in R or Python - information provided in the CV and/or motivation letter; Experience in fieldwork, particularly botany and birds - information provided in the CV and/or
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possess strong programming skills in Python and C++, with experience in PyTorch and pybind11 for developing and optimizing deep learning models. Familiarity with Sentinel-2 satellite imagery and experience
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Qualifications · PhD in Astrophysics, Radio Astronomy, Space Physics, or a related field. · Experience with solar radio observations, space weather, or signal processing. · Strong programming skills in Python