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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
for databehandling Utløpsdato: Session Navn: __RequestVerificationToken Leverandør: .jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler
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, Preclinical Safety (PCS) is responsible for creating and executing development plans that support novel drug candidates from nonclinical testing through first-in-human, registration, and post-marketing phases
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rapporteringsformål. Personvernregler for databehandling: Piwik Pro - Personvernregler for databehandling Utløpsdato: 30 minutter Navn: _pk_sesxxx Leverandør: www.jobbnorge.no Databehandlingsansvarlig: HAProxy software
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Ecosystem Research Network (TERN) is the national observatory for Australian ecosystems, delivering data streams that enable environmental research and management. TERN’s infrastructure is designed to examine
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typical duties that may be applicable to the position: Develops, tests, and analyzes research data for projects based on application expertise and interest. Writes narrative summaries of the research
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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technologies, systems, prototypes, machines, software and/or processes in the context if of the NQCT facility. Design complex testing procedures and protocols and coordinate to identify problems and solutions
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and execute patch-clamp electrophysiology experiments in tissue slices and dissociated neuronal culture to test specific hypotheses related to chronic sensitization. The postdoc will organize, analyze
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excellent interpersonal skills. About You You will hold a PhD in a relevant subject such as Aerospace, Mechanical, Electrical, or Software Engineering for the Research Fellow position, or hold a Master's
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analytics. Virtual screening and efficacy testing using AI-driven approaches to identify promising drug candidates from large chemical libraries. (Retro)synthesis planning using AI to propose feasible