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and around 800 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. At the Department of Biological and Chemical Engineering, focus is on living systems
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contribute to joint research efforts within the program. · Present your work at group meetings, conferences, and in high-quality scientific publications. · Contribute to the supervision of MSc and PhD students
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a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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, coordinated by Aalborg University and funded by the EU’s Horizon Europe program. The project aims to improve fiber-to-fiber textile recycling across Europe by developing smarter sorting systems, recycling
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial
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large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
to investigate the molecular mechanisms of plant hormone transport. The position offers the opportunity to work within an international, interdisciplinary environment, combining structural biology, biophysics, and
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs