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, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is
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strong background in fluid dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran
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application: https://lu.varbi.com/en/what:job/jobID:707908/ Group webpage: https://sites.google.com/view/qit-scania/homeDescription of the workplace The division of mathematical physics spans both the faculties
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a master’s degree in a relevant discipline (Master’s degree in engineering, physics, systems biology, applied mathematics, biotechnology) interested in Modeling, analysis and control of biological
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world or simulation- strong mathematical background (eg courses in Lineare Algebra / Analysis)- experience with deep learning frameworks such as PyTorch and Tensorflow- experience in writing papers
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natural sciences (diploma or master of science in physics, geophysics, environmental physics, meteorology, mathematics or computer science) with an average grade better than or equal to 2.0 in the German
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, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous. Candidates should thrive in an international environment and
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on the Modified Planar Rotator Model, Mathematical Geosciences 52 123 (2020).4.M. Žukovič and D.T. Hristopulos, Spatial data modeling by means of Gibbs Markov random fields based on a generalized planar rotator
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the scientific area of electric power systems (optimization algorithms, applied artificial intelligence and mathematical modeling of PV systems and Li-Ion batteries) (20%); C - Research experience (20%); D
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, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing Network and Machine Learning tools for the analysis and construction of Knowledge Graphs