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: Postdoctoral researcher (R2) REQUIRED QUALIFICATION: PhD degree in Physics or related areas. OTHER REQUIREMENTS: Seniority of Doctorate Degree less than 7 years DEDICATION: Full-time (37,5 hours for week) GROSS
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Job description:Title: DC6, PhD fellowship in Improving Predictive Power: Addressing Identifiability Challenges in Microbial Community Models.Researcher profile: Doctoral candidate.Type of contract
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C++, Pytorch Al menos 3 años de experiencia en Visión por Computador y en Machine Learning/At least 3 years of experience in Computer Vision and in Machine Learning Specific Requirements Al menos 3
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collaboration with other team members. Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in chemistry, biochemistry, pharmacy or similar Specific Requirements
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technologies and libraries (scikit-learn, Py-Torch, tensor flow) would be a plus. · Proficient in R or Python programming. Experience in Shiny programming or web applications in Python will be considered a plus
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experience) Proved knowledge in quantum sciences, english, bachelor in physics, mathematics, engineering or similar. Learning research skills, collaborate with companies of machine learning 9h/ week, 8 months
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initiative aims to foster the creativity and innovation of PhD-holding researchers seeking to acquire new skills through advanced training, international collaboration, interdisciplinary work, and cross
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PhD in Atmospheric Chemistry, Environmental engineering, Meteorology, Physics, or related discipline. Essential Knowledge and Professional Experience Advanced understanding of atmospheric aerosol
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abroad through the International support service , an Euraxess Contact Point. Eligibility criteria for MSCA-PF candidates Holding a PhD and a maximum of eight years full-time research experience after PhD
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, risk management and machine learning. GREF brings together faculty from the departments of Economics and Finance, graduate students and a diverse network of collaborators, with the aim to facilitate