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, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing software and techniques. Background in plant biology and physiology, especially related to stress
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in the highly interdisciplinary Advanced Instrumentation for Nano-Analytics group at LIST’s Scientific Instrumentation and Process Technology unit. During the past ten years, we have been developing
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for strengthening activities in relation to their specific expertise (e.g., computational imaging, deep learning, numerical optimization) Where to apply Website https://concorsi.unige.it/home Requirements Additional
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mechanical equipment, and collaborating with a team to develop and build unique equipment. Demonstrated ability with 3D Computer Aided Design modeling software. Ability to perform mechanical engineering design
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Simulation Methods including scientific data processing and databases, software applications including human computer interface, support for science operation centres and downstream applications; Supporting
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. Ability to grade all assignments and examinations. Tools/Equipment: Ability to operate standard classroom instructional technology, which may include computer, projector, document camera, etc. Application
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 10 hours ago
engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 8 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not
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computational analyses that interface with ongoing biology efforts in the laboratory. The LSRP1 will be able to directly work with the principal investigator and other members of the lab in a collaborative
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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applications in emotion-aware human–computer interfaces, assistive technologies, and mental health monitoring. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079