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of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 1 month ago
into a multidisciplinary work environment, and strong team spirit Good computer skills, especially experience with CAD and 3D modelling software, and processing of 3D point clouds Willingness to travel
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directions. This position is not eligible for H-1B visa sponsorship. Qualifications Minimum Requirements • Ph.D. in Transportation Engineering, Civil Engineering, Computer Science, Electrical Engineering
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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in
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understanding of single-cell biology, recent technologies and data science. Experience with cloud computing platforms will be an advantage Experience with wet-lab protocols RNA-seq and scRNAseq is preferred but
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-performance and cloud computing; (iii) skills in mathematical modeling and scientific computing; (iv) an ability to work independently; (v) strong publication record (at least five first-authored publications
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Proficiency in R or Python Minimum of two years of experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer
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Woods Hole Oceanographic Institution | Woods Hole, Massachusetts | United States | about 2 months ago
-the-loop validation, and performance evaluation for detectors (precision/recall, PR curves, etc.). Experience with scalable computing (HPC/cloud), workflow automation, and/or containerized/reproducible