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candidate will have a PhD in a relevant biological subject, or MSc / MPhil plus significant experience in industry in the field of computer vision and machine learning. They will also have extensive research
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underlying these processes remain poorly represented. This PhD project aims to fill that gap by using molecular simulations to quantify the interactions of SOM and EPS with water and minerals, and to connect
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trustworthy AI architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision
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. Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates for research associate appointments may not exceed a combined
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the technological hurdles at the interface of these disciplines to maximize device sensitivity and deliver a functional prototype, fully validated for transfer to industrial applications. You will be
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Education: PhD in Biology related field. Work Experience: Research experience in wet biological laboratories with experience in cell culture, imaging and molecular biology techniques. Experience in working
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leader in the digital world. We are looking for an Assistant/Associate Professor in Video Processing and Animationwith Deep Learning to jointhe Multimedia (MM)teamin the Image, Data, Signal (IDS
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in simpler (2D culture) or more complex (animal) models. The imaging data will finally be transformed into quantitative measurements to be analyzed and modeled to understand these processes
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limited to, molecular biology and cloning, T cell transduction, flow cytometry, imaging, in vitro and in vivo assays, behavioral tests, and RNA-sequencing. Collaborates on designing, conducting and
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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected