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management, communication, networking, presentations, writing of grants and manuscripts etc. Mentoring and career development Access to state-of-the-art equipment, facilities, and infrastructure Opportunity
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
communication related to freshwater ecology to a broad audience will therefore be considered an advantage. Appointment as a postdoctoral researcher presupposes scientific qualifications corresponding
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, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial
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will develop atomistic models and machine-learning potentials to interpret experimental data and predict catalytic performance. The tasks can include Advancing equivariant neural network potentials
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and physical verifications (DRC and LVS) using Calibre and Quantus. Knowledge of neural networks and neuromorphic systems is a strong advantage. Team player with strong collaboration skills. All
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. Applicants should have experience with qualitative methods such as interviews, observations, and discourse or document analysis, ideally in relation to AI and ethics. Strong interpersonal and communication
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tasks The successful candidate will work closely with our international network of collaborators while contributing to the design, coordination, and execution of high-impact translational research
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access to state-of-the-art facilities and expert assistance with improving your proposal writing skills and feedback on grant applications. We actively facilitate building your professional networks, both
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researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum