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Position: Postdoctoral Researcher in Vision-Language-Action Models and Physically Informed Neural Networks for Surgical Robotics Publication date: 30.09.2025 Closing date: 29.10.2025 Level of education: PhD
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interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as those obtained in
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(scRNA-seq) • Perturb-seq (combining genetic perturbations with scRNA-seq) • Functional testing of beta cells • Advanced microscopic imaging and flow cytometry with imaging You don't need to know
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imaging Analyze complex datasets (kinetics, FRET traces, colocalization) Initiate and drive new subprojects Mentor PhD students and collaborate closely within the group and with partners abroad Present
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Opus Requirements: Holds a doctoral degree (PhD), obtained not earlier than 7 years before the year of employment in the project (not including maternity leaves), Has worked in at least one research
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-of-the-art scientific project, • the possibility of professional development in an international expert environment, • access to specialized training in the field of film deposition, spectroscopic imaging and
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sequencing, proteomics and lipidomics, functional assays, and microscopic imaging. Mastering all of these techniques is not necessary, as the project will be carried out in collaboration; however, there is an
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Science Requirements: PhD degree, or equivalent, in either one: neuroscience, molecular biology, biochemistry, biotechnology, biology, chemistry, biotechnology, medicine, pharmacy, health sciences etc
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. • Excellent data analysis and visualization skills. The candidate is expected to be proficient in advanced data analysis and image processing tools such as MATLAB and DaVis and capable of handling large
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candidate will leverage computational approaches to drive new fundamental discoveries in RNA and cell biology. This may include, but is not limited to, the development of new methods for multiomics or image