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analysis, the project will ensure the integration of the newest technological developments to enhance threat assessments and elevate intelligence studies with cutting-edge modeling. You should have an MSc
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Job Description Are you interested in putting science in direct benefit of society? We are offering a full PhD fellowship to explore how AI, Mathematical Optimization, and Game Theory can be used
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equivalent to a two-year master's degree. Your academic background needs to be relevant to the above-stated project objectives, e.g., civil engineering, mechanical engineering, physics, or applied mathematics
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Co-supervision of BSc and MSc projects that are complementary of this PhD project Candidate Profile You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level
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Mechanical Engineering Department. Co-supervision of BSc and MSc projects that are complementary of this PhD project. As the job descriptions cannot be exhaustive, the Researcher may be required to undertake
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in