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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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within the project Next-Generation Latent Variable Models for Social Data Science. The scholarships are full-time for two years with start date 01 01 2027, or by agreement. Application deadline: November 4
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Science. Our research examines how artificial intelligence, online platforms, and the Web shape individuals, societies, and access to information. Recent themes include large-language-model safety and bias
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting gram
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) Life and Disability Insurance Paid Time Off: 20 days of vacation per calendar year, 12 days of personal/sick time Paid Holidays and Special Days Off: https://www.bowdoin.edu/hr/our-workplace/college
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surveillance during early colorectal tumorigenesis. • Generate and manipulate human and mouse colorectal adenoma cells and organoid models. • Use CRISPR/Cas9, inducible gene-expression systems, miRNA inhibitors
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Biophysics Posting Number R260151 Posting Link https://www.ubjobs.buffalo.edu/postings/64468 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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-cell models with comparative genomics, genome editing, and neuroscience to connect evolutionary sequence changes to the functions of the brain and placenta. Our goal is to understand how genome evolution
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi/ About Finland Finland is a great place for living with or without family – it is a safe, politically