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Working Title: Director and Assistant/Associate/Full Professor, Clinical Mental Health Counseling M.A./Ed.S. Program State Role Title: N/A Position Type: Instructional / Teaching Faculty Position
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models). Climate emulators for wave and sea level simulations. Use of Linux-based numerical computing servers. Specific Requirements Knowledge: Coastal morphodynamic processes at different time scales
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/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development
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assessment of seed yield and quality traits using imaging, machine learning, and edge computing technologies. The position will assist with the development, testing, and deployment of AI models for analyzing
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Boston University Chobanian & Avedisian School of Medicine | Boston, Massachusetts | United States | about 1 month ago
pharmacology, and disease-relevant models of brain plasticity. Candidates with experience in metabolic-epigenetic regulation of brain function, chromatin biology, molecular and cellular biology, quantitative
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Job Description Experiential Learning & Alumni Engagement has an outstanding opportunity for a Program Operations Specialist to join their team. About this Opportunity The Program Operations
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15 Oct 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number MPr-2023-7-18319 (ALGARVE-FEDER-01454800) Is the Job related to staff position within a
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digital twinning, linking process, structure, and performance in generating input parameters for integrated computational materials engineering (ICME) models. You will use facilities available through
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | 12 days ago
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 JOB DESCRIPTION The Badalona
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optimally combined to deliver models with extremely constrained compute and memory footprints without compromising performance. This includes training spiking neural networks with multiple plasticities