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, provincial and municipal talent programs. Requirements: Ph.D. in Mathematics, Cryptography, Computer Science, or closely related areas. Proven track record of research in post-quantum cryptography, or a
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
for the formation of model membranes e.g. LB/LS deposition, RSE, etc. We Offer A friendly and respectful English-speaking working environment. Flexible working hours. Access to a world-class laboratory with state
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will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong interest
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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of the essential functions with or without a reasonable accommodation. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position
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scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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output of the neutral atmosphere dynamics and chemistry of UA-ICON. A requirement will be to install TIE- GCM at the supercomputer of the German Climate Computing Centre, where UA-ICON is running
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. Excellent communication skills in English and the ability to work collaboratively. The ability to direct and take ownership of research projects. Desirable Experience with the zebrafish model Experience with
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training and experience in patient-oriented research, knowledge translation, qualitative and quantitative analysis. Knowledge of French and English: McGill University is an English-language university where
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is necessary for career entry. Preferred Proficiency in UNIX shell, Python, or other programming languages is preferred. Experience handling large next-gen sequence datasets is preferred. A