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Field
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to conferences, interactions with clinicians, and close collaboration with partner research groups in protein chemistry, molecular biology, and bioinformatics. Required Qualifications: MD or PhD in a relevant
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-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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York 14853, United States of America [map ] Subject Areas: Bioinformatics Genomics / Plant Computational Biology Genetics / Quantitative Appl Deadline: none Position Description: Apply Position
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experience in bioinformatics (UNIX environments, R/Python, etc.) Desirable but not required/ Nice to have · Experience working with Nextflow pipelines Education and training · A PhD in Biology (or
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limited to one year with the possibility of extension. The research assistant position may potentially lead to the opportunity to begin a PhD position based on the candidate’s career stage and wishes. We
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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/bioinformatician with a PhD degree in a relevant research field. Experimental biologists with significant bioinformatic experience wishing to transition to a more computational project are encouraged to apply. Your
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provides opportunities to strengthen your academic profile through (co-) supervision of PhD, MSc, and BSc students, as well as teaching (if desired). Especially attractive is the opportunity to collaborate
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural