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computational research in collaboration with other team members, and is expected to take a role in providing guidance to PhD, masters, and bachelor students. The postdoc will be part of the computational
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
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part of a broader interdisciplinary research initiative conducted jointly with the Department of Computer Science at Aalborg University. The postdoctoral researcher will collaborate closely with two PhD
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. As a Postdoctoral researcher, you will be working at Aarhus University Hospital or another
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deliverables Support supervision of MSc and PhD students related to the project Qualifications You must have a PhD degree (or equivalent) in robotics, mechatronics, control, or a related field. We expect you to
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
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grant applications Experimental work will include molecular engineering, protein characterization, and cellular functional validation in engineered T cells. We are looking for a candidate who: Holds a PhD
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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writing and presentations at conferences and workshops. Qualifications: PhD in Biomedical Engineering, Medical Robotics, Computer Science or a closely related field Strong background in medical image