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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof
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and molecular cloning techniques, including C. elegans CRISPRand genetic engineering, computational imaging using confocal microscopy, and C.elegans culture. Experience in scientific publication, grant
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Digitally enabled development of sustainable metamaterials to create circular alternatives to current unsustainable parts widely used in industry School of Electrical and Electronic Engineering PhD
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, data mining, machine learning, natural language processing, human-centered computing, mobile and ubiquitous computing, cyber-physical systems, and engineering education. IST hosts the ABET-accredited BS
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enable us to better understand deformation - with a view to anticipation, remedy and possibly prevention. The PhD project is a collaboration between the Faculties of IT and Engineering with the student
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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IM2NP (Institut Matériaux Microélectronique Nanosciences de Provence) UMR CNRS 7334 Aix Marseille Université | Marseille, Provence Alpes Cote d Azur | France | about 1 month ago
. Funding category: Contrat doctoral Bourse de l'école doctorale (concours) PHD title: Doctorat physique et sciences de la matière PHD Country: France Where to apply Website https://www.abg.asso.fr/fr
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Qualifications Essential Qualifications: PhD degree in Neuroscience, Physics, Electrical Engineering or other related field. At least 4 years hands-on experience in an EM laboratory Ability to organize and execute
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Job Description The Department of Anesthesiology and Pain Medicine has an outstanding opportunity for a Research Scientist/Engineer 3 to join their team. As a center of excellence that collaborates
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, artificial intelligence—and particularly machine learning methods—has become indispensable. Depending on the specialty, processed data may include numerical values, point clouds, text or images, often