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culture (BSL1/BSL2), flow cytometry, transcriptomics and next-generation sequencing (NGS), proteomics, and basic molecular biology and biochemistry. Bioinformatics skills for the analysis of NGS data
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outreach. • Experience with bioinformatics or protein structure are highly desirable Supervision Exercised The postdoctoral associate may assist in advising graduate and undergraduate students within the lab
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, bioinformatics, and clinical research infrastructure The successful candidate will join a vibrant, interdisciplinary community of investigators committed to advancing discovery and improving patient outcomes
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and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
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international collaborators in biophysics, biology, bioinformatics, and drug development. Requirements: university and PhD degree in cell biology, molecular biology, biochemistry or a related discipline
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics
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opportunity to contribute to an international, interdisciplinary consortium project investigating ancient medical sources and Innovative modern techniques, including Microbial Genomics, Bioinformatics, AI and
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
, artificial intelligence, bioinformatics, operations research and radiological physics will be given preference. We emphasize that the academic degrees obtained in foreign countries require registration by a
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 3 months ago
, artificial intelligence, bioinformatics, operations research and radiological physics will be given preference. We emphasize that the academic degrees obtained in foreign countries require registration by a
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capture systems, reporting processes, and technology adoption. Promote FAIR data principles, open science practices, and common data standards. Collaborate with bioinformatics, biostatistics