312 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Nature Careers in United States
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Job Description The IT Technician (Level II or I) is responsible for providing hardware and software support for local computing resources. Supports local networking resources and requirements
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incorporates functional genomics and peptide synthesis. It also provides computational support for basecalling and alignment. The director will oversee 20 multi-disciplinary team members distributed across 6
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning
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commitment to training graduate students, postdoctoral fellows, physicians, and undergraduates. Department faculty lead the PhD Program in Molecular Pharmacology, supported by an NIH T32 training grant now in
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, Biomedical Informatics (Computational) or a related discipline who possesses strong computational and analytical expertise
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Officer in leading a robust Radiation Safety Program across cutting-edge medical and research environments. In this pivotal position, you'll ensure our clinical and research teams stay in full compliance
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The Department of Biochemistry at Albert Einstein College of Medicine invites applications for a tenure-track faculty position in the broadly defined areas of chemical biology, computational
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program with a clear cancer relevance Strong publication record demonstrating originality and scientific rigor appropriate to rank level For mid Assistant/Associate/Full Professor Rank, NIH/NCI funding as
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program. The Oncology Clinical Coordinator Manager drives operational excellence by identifying and addressing inefficiencies, standardizing workflows, and leading continuous improvement initiatives related