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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
MSc degree in Aerospace Engineering, Industrial Engineering, Operations Research, Applied Mathematics, or a related field. Aditionally, the following is a plus: Strong programming skills in Pyhon, and
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” at Department of Mathematics of Faculty of Science and Technology of University of Coimbra; Maria Alexandra Albuquerque Faria Pais, Associate Professor at Department of Physics of Faculty of Science and
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Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
of the Dutch Aviation System Analysis Laboratory. Job requirements The candidate has a MSc degree in Aerospace Engineering, Industrial Engineering, Operations Research, Applied Mathematics, or a related field
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the following qualifications, knowledge and skills: A master's degree in Civil, Geotechnical, Mechanical, Aerospace Engineering, Applied Mathematics/Mechanics, Computer Science or related areas. Demonstrated
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are looking for an excellent candidate with the following qualifications, knowledge and skills: A master's degree in Civil, Mechanical, Aerospace Engineering, Applied Mathematics/Mechanics, Computer Science
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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programmatic activities. Requirements: Ph.D. in computer science, machine learning, biomedical engineering, computational neuroscience, applied mathematics, computational or mathematical sciences, or a related
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defined four main research areas as the following: Environment and Sustainability Neurosensory Science and Systems Medicine, Health and Life Sciences Chemical, Physical, Mathematical and Computational
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. The following typical research topics serve as interdisciplinary links between the various fields of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception