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Infrastructure? No Offer Description JOB POSITION: PhD Junior Researcher (Investigador Júnior) I-PI 95-25 Applications are invited by the University of Alicante President to participate in a recruitment process
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for Engineering Research (MPhil/PhD) and indicate Dr Francesco Restuccia as the supervisor and quote the project title in your application and all correspondence. Please ensure to add the code [FIREMOD] in
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PhD Candidate in Chemical Biology of Lipid Signaling in Adipocytes The Department of Molecular Physiology of the Leiden Institute of Chemistry is looking for a PhD candidate to study a novel lipid
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the qualifications 7. Certificate of enrollment in a PhD program Submission of applications: orz0822@imbb.forth.gr Selection process Evaluation procedure Applications will be evaluated by a three-member evaluation
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, to undertake a PhD in the Faculty of Arts are available at arts.monash.edu/graduate-research/application-process . Applicants should ensure they familiarise themselves with these requirements before deciding
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9th November 2025 Languages English Norsk Bokmål English English PhD Scholarship - Deep learning for forest point clouds Apply for this job See advertisement Key Information The position is part of
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
of Higher Education and Science. Other important criteria are: The grade point average achieved. Professional qualifications relevant to the PhD project. Previous publications. A curious mind-set with
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accurate information. Machine learning allows for the systematization and processing of this data into new forms of information to support the management of forest resources and ecosystems. The PhD candidate
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integrate multiple signals during communication (e.g., using insights from psycholinguistics and neuroscience to inform computational models of multimodal language processing- Building AI agents that engage
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frequent cloud contamination. This scale mismatch prevents a coherent representation of radiative–thermal processes at the urban scale. This PhD will develop physics-informed deep learning models for data