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postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
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, and the City of Martigny, Idiap has, during the last 35 years, been developing outstanding research, education, and technology transfer activities in multiple areas of Artificial Intelligence (AI). With
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technology transfer activities in multiple areas of Artificial Intelligence (AI). With an annual budget of 17 MCHF and about 170 researchers and collaborators, Idiap is today a key Swiss research institute in
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work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
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: Language and Being Alive: Terrain exercise sequences as defined in the DDM-I curriculum Assessing student exercises throughout the teaching period Coordinating with the Chair of Landscape Architecture
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high-quality Medical Data Review (MDR) and safety signal detection, aligned with Risk-Based Quality Management (RBQM) principles and Critical-to-Quality (CtQ) endpoints. The Opportunity The Early
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variation in individual animal genomes and at the population scale. Our groups apply state of the art technologies to sequence the genomes and transcriptomes of farm animals with long and short reads, and
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of opportunity), and integrating these definitions into model optimization and evaluation processes (hereby acknowledging the complications of algorithmic notions of fairness); (iv) AI alignment : developing AI
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. The position is fixed-term for one year and start in June 2026. Project background The projects are rooted in the SARS-CoV-2 pandemic. In response to the rapidly growing number of available genome sequences and
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, the monitoring of living organisms is becoming increasingly critical in a variety of domains and this can be achieved with eDNA, allowing fast and cost-effective tracking of multiple species’ occupancy at multiple