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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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right now. Please see the job description above on how to apply. Contact: Marvin Anas Hahn Email: Postal Mail: School of Mathematics Trinity College Dublin Dublin 2 Ireland Web Page: https
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/Alzette (Belval) 1511, Luxembourg [map ] Subject Area: Mathematics Appl Deadline: (posted 2025/01/16, updated 2025/02/06, listed until 2025/07/31) Position Description: Apply 2025/07/31 11:59PM Position
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procedure. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development
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(applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical skills and personal interests
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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) Research area: Large Language Models (LLMs), knowledge graphs (KGs), commonsense knowledge Tasks: foundational or applied research in at least one of the following areas: LLMs, KGs, knowledge extraction
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Engineering, or Applied Mathematics. A background in system dynamics, modeling, or control is essential; prior experience with soft robotics or experimental work is a plus but not required. We value
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
. In this project, you will use whole cell mathematical models (WCMs) to generate predictions about evolutionary outcomes under defined conditions, then design and run bacterial evolution experiments