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Field
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machine learning and statistical analyses. Proficiency with Python and relevant libraries. Prior experience with genomic data modeling. Interest or experience working in neuroscience domain applications
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
viral vectors. Preferencial: - Experience in programming such as Python and analysis of behavioral videos; - Good team work; Additional Information Website for additional job details https
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
successive amendments). https://files.diariodarepublica.pt/2s/2019/12/241000000/0009100105.pdf https://web.lip.pt/lfiles/Regulamento-Bolsas-Investigacao-BI-LIP.pdf Duration: The fellowship has a duration of 3
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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in those complex systems and related concepts. As part of this study, the researcher wilt be required to develop Python freeware to analyze and visualize graphs aiming towards explainability of dynamic
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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“LASIGE”, “UID/408/2025”, “DOI: https://doi.org/10.54499/UID/00408/2025 ”, funded by the Fundação para a Ciência e a Tecnologia, I.P./MECI through national funds under the Strategic Funding 2025-29, under
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start and end dates during which you would be available to fill this position Your familiarity with programming languages (e.g. Stata, Python, R) Your prior experience as a research assistant, in the
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includes geologists, atmospheric scientists, paleontologists, and oceanographers. Additional information about the department may be found at: https://science.gmu.edu/academics/departments-units/atmospheric