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learning – and we are growing and seeking: Postdoc / PhD Student / Entrepreneurial Postdocs to join the Institute and its wider research community. We welcome applications across all areas of machine
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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PhD at the InnoRenew CoE, Andrej Marušič Institute. The successful candidate will be actively involved in research activities, particularly those related to the development and scientific use of the HB
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an international research environment spanning communication theory, networking, information theory, sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who
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).The PhD candidate is expecting to assisting in teaching and help in laboratory on the related topic. Applicants should fulfil the following requirements: A Master's degree in computer engineering, computer
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interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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learning or other relevant disciplines. Mandatory for Academic Level B appointment: PhD in robotics, machine learning or other relevant disciplines. Please Note: Appointment to this position is subject to
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robotics, machine learning or other relevant disciplines. Mandatory for Academic Level B appointment: PhD in robotics, machine learning or other relevant disciplines. Please Note: Appointment to