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Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 8 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through
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implementation of these within optimized computer code, but also large-scale applications of the resulting methods to various chemical problems of interest. Candidates with a strong background in theoretical and
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into improvements in health care. • To assist in the training of PhD students and other members of the LMB. Key responsibilities: Within the overall direction of the programme, the group, the remit of the project
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critical that we fully understand the underlying cause(s). This project aims to identify biomarkers in the eye and brain that explain vision loss, building on our previously-developed method linking clinical
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computer science or related fields Excellent accademic skills and strong interest in Electronic Design Automation (EDA) Strong expertise in hardware design, verification, and the use of formal methods Excellent
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the 10/09/2025 to 23/09/2025. Documentation to be provided at the time of application: Applications must be formalized, mandatorily, by sending the following documents: i) Motivation letter; ii) Detailed
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 13 days ago
» Biochemistry Technology » Biotechnology Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 12 Sep 2025 - 23:59 (Europe
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requirements, obtain datasets, and validate results Manage research projects and deliverables, as well as prepare research proposals to attract public and private funding Mentor and supervise PhD students and
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(Audrey Harkness, PhD) and a designee of the principal investigator (Mae Tidd, PhD). Dr. Harkness leads the REACH (Research Engagement and Community Health) Equity Team which focuses on addressing HIV and
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-injection attacks and applied formal methods for microarchitectural analyses. Ref : [1] µArchiFI : https://github.com/CEA-LIST/uArchiFI [2] k-FRP : https://github.com/CEA-LIST/Fault-Resistant-Partitioning [3