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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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. Your experience and ambitions Master degree in architecture, engineering, or other relevant field Experience in life cycle assessment (LCA) and energy simulation, knowledge of One Click LCA and IDA-ICE
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both homogenous and heterogenous catalytic conversion, including the handling, testing and characterizing the catalysts as well as the reactor and process simulation and analysis. Details will be
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Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
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copy of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also
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how your experience meets the person profile requirements, a copy of your degree(s) certificate(s) along with a full transcript, and research publication list in the Upload section of the online
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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copy of your Master’s thesis or a link (URL) to a repository where it can be found Recommendation letter(s) and/or contact details of those who can give a recommendation The deadline for applications is
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework