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and multidisciplinary team. The successful candidate should have completed an MSc degree in ecology or environmental sciences (minimum grade B) and have documented skills in ecology (especially invasive
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...
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Contract: Full Time/Fixed Term for three (3) years.Supervisor:Dr Mohamed Lamine Faycal BELLAREDJ, Assistant ProfessorDepartment of electrical engineering, Universite de Moncton (Moncton campus)Email
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of bioinformatics, biology, or related fields - M.Sc. is required. Key qualifications and qualities include: Experience in bioinformatics/computational biology; experience in protein structure prediction is
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computer science and information system engineering while collaborating in a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and build a robust anonymization
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of
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to doctoral studies, the applicant must have basic eligibility and have completed a degree in engineering/master's degree in computer engineering/computer science or equivalent, completed course requirements of
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting