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Field
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strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in
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Social Participation). TACIT focuses on the co-design of inclusive and accessible AI and other technologies for people with disabilities through inclusive Human-Computer Interaction (HCI) and participatory
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research-oriented internships in the industry What we ask of you Completed or soon-to-be completed MSc in Computer Security, Computer Science, Artificial Intelligence, Mathematics, Computer Engineering
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principles, lab measurement, computer vision and ArcGIS, potential fieldwork and UAV flying training. Person specification Experience and/or enthusiastic interest in one or more of the following areas
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
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fields, or computational algebra; · Proficiency in computer algebra systems (Magma, SageMath, GAP) is highly desirable; · Excellent written and spoken English. Research FieldMathematics » Other
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area has received best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Environment
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in Mechanical or Electrical Engineering, Computer Science, or a related field. Fluency in at least one common computer programming language is required. English fluency is expected. The candidate must
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Proficient in personal computer (PC) use and Microsoft Office Attention to detail Possesses excellent communication and organizational skills Demonstrates dependability, as well as positive phone and people