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physically capable of performing the above duties, including use of multiple monitors, high-performance computers, and specialized software. Extended periods of sitting at desks or workstations equipment
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documentation for teaching bioinformatics. Prepares survey reports, summaries, lesson plans, and perform quantitative analyses of outcomes. Contributes to preparation of scientific articles reporting program
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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experience is required. If the applicant graduated more than 1 year ago from a PhD or MD training program, minimum of one (1) year of experience with high throughput biomedical or neuroscience research
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-performance computing systems (,e.g., SLURM) Familiarity with population genomics, GWAS, or related approaches Experience with large biological datasets Proven ability to communicate scientific information
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Positions Application Deadline 30 Apr 2026 - 18:25 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme
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of monolithic High Voltage CMOS sensor chips for operation in high-rate and high-radiation environments; Design and qualification of off-chip electronics; Commissioning and operation of precision assembly
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significant scope for scientific creativity. You will have opportunities to publish in high‑impact journals, develop new modelling methodologies, work with high‑performance computing resources, and contribute
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction