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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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-health-economics-and-obesity Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293904/phd-candidate-in-health-e… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
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initial emissions, identify detection thresholds for current instruments and assess requirements for future instruments. The PhD student will learn to use the IPSL climate model, IPSL-CM, and carry out
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
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and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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Profile We are looking for candidates who meet the following criteria: PhD in relevant fields: plant sciences, functional genomics, molecular & applied genetics, bioinformatics, artificial intelligence
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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CNRCountryItalyState/ProvinceItalyCityRomaPostal Code00196StreetVia Romagnosi 18/AGeofield Contact State/Province Rome City Rome Website https://www.istc.cnr.it/ Street Via Romagnosi 18/A Postal Code 00196 E-Mail
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Architecture, PhD or equivalent preferred. Please note: Applications for the spring 2026 semesters are currently being reviewed. Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type