82 computer-science-image-processing positions at University of Groningen in Netherlands
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the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of the Jantina Tammes School of Digital Society, Technology and AI. ELSA4TI focuses on the ethical, legal, social and
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research, driving the development of innovative, sustainable and smart processes and products through world-class research while actively investing in graduate and undergraduate education and mentorship
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the Faculty of Science and Engineering, a 4-year PhD position is available to start as soon as possible at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage
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science, computer science, applied mathematics or a related field a strong background in machine learning, material modeling, and metals processing, modeling and simulation (This will be a clear advantage
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flexible alternative. Thanks to their significant thermal inertia and ultra-low-temperature operation, DHCNs can absorb surplus renewable energy, respond to market signals, alleviate grid stress, and provide
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single mirror image forms is often denoted as “A Signature of Life”. Homochirality is essential for, e.g., molecular recognition and information processing, enzyme functioning and cell replication. However
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, the Engineering and Technology Institute Groningen (ENTEG) is a multidisciplinary hub for engineering science and technology research, driving the development of innovative, sustainable and smart processes and
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The vacancy is within the group of Associate Prof. Dr. Anna Salvati at the Department of Nanomedicine Drug Targeting of the Groningen Research Institute of Pharmacy (GRIP), Faculty of Science and
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R