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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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E-mail jakub.ceranka@vub.be Website https://jobs.vub.be/job/Elsene-PhD-in-'medical-image-analysis-and-artificial-in… Requirements Research FieldEngineering » Biomedical engineeringEducation
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or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning
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stability analysis and control, machine learning, dimensionality reduction and high-performance computing. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-159/Default.aspx
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position on Understanding and
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algorithms for asthma. The methods to be employed will include cell culture, transcriptomics, proteomics, multiplex assays, flow cytometry, and machine learning. This project combines expertise in cell biology
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engineering Mathematics » Applied mathematics Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:00 (Europe/Athens) Country
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engineering Mathematics » Applied mathematics Mathematics » Probability theory Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 24 Apr 2026 - 23:59 (Europe/Athens
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30th April 2026 Languages English Norsk Bokmål English English PhD Fellow in Machine Learning Apply for this job See advertisement About us The Nansen Center is a Norwegian environmental research
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physics, HVAC systems, and thermodynamics. Control Expertise: Experience with advanced control strategies and/or machine learning techniques. Digital Engineering Skills: Familiarity with Building