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, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision
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-structure, TCAD, multiphysics or optical simulation tools, such as Nextnano, Synopsys Sentaurus, Silvaco Atlas, Ansys Lumerical or COMSOL. Scientific programming capability in Python or an equivalent
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their main activity (work, studies) in Belgium for more than 12 months in the 36 months immediately before the recruitment date. Required skills: •Strong programming skills in Python, and experience with
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learning as well as a strong background in scientific programming (in languages like Julia, Python, Fortran or C/C++). The applicant must hold a PhD in physical oceanography, atmospheric sciences, computer
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, HVDC systems and inverter-based resources. Experience with PSCAD, EMTP, RTDS, OPAL-RT, PowerFactory or MATLAB/Simulink. Programming experience in Python, Julia, MATLAB, C/C++ or related languages
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Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
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in the field of Fire Safety Engineering; You are familiar with concepts of uncertainty quantification; You are familiar with Python coding; You are familiar with structural fire engineering calculation
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(python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches are not the focus of this project. The candidate is
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spoken English. Experience in Python and/or R. Experience with Linux and Bash. Experience with bulk, single-cell or single-nucleus RNA-sequencing data. Ability to troubleshoot and resolve
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evidence of excellent study results. You have strong programming skills in C and at least one high-level language (e.g. Python). You have a solid understanding of wireless network stacks and/or experience