[閒聊] Lazarus 06
這集就是這首歌啊,只是從外星人改AI
可惜鋪陳好像不太夠,這集劇情好薄弱
如果拆成兩集多描述一點可能比較好。
Let me say that our mission here, at this time,
Is about to come to a close in the next few days.
We came from distant space,
And even what some might call somewhat of another dimension.
And we're about to return from whence we came.
It requires that you,
If you move into that evolutionary kingdom,
That you leave behind everything of human ways —
Human behavior, human ignorance, human misinformation.
If I would title this tape, it would be:
"Last chance to evacuate planet Earth before it is recycled."
--
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[情報] postdoc position in human population gPOSTDOCTORAL POSITION at U of Minnesota, Twin Cities in Population Genomics and Structural Variation If interested in postdoctoral work in the Population Genomics and Structural Variation (PopGenSV) laboratory, please contact PingHsun (Benson) Hsieh, Ph.D.: hsiehph [@] umn.edu () A postdoctoral position in population genomics and evolutionary medicine is available immediately in the Department of Genetics, Cell Biology, and Development (GCD) at the University of Minnesota, Twin Cities, MN. We are looking for a highly motivated and creative individual to leverage large datasets of long- and short-read genomes to investigate the full spectrum of human genetic diversity in relation to their evolutionary and functional consequences. Our lab specializes in understanding the biological and evolutionary role of structural variants (SVs) that remain largely unexplored in traditional human genetic studies. Required and Preferred Qualifications: Applicants must have a Ph.D., or be within six months of their doctorate degree, in the field of Population Genetics, Evolutionary Biology, Computational Biology, Statistics, Biostatistics, Computer Science, or other disciplines with strong quantitative backgrounds and strong programming skills. Experience in population and statistical genetics analyses and working with large sequencing data sets are highly desired. The candidate must be highly motivated and
[情報] Postdoc position in human genomicsIf interested in postdoctoral work in population/evolutionary genomics and structural variation, please contact PingHsun (Benson) Hsieh, Ph.D.: hsiehph [@] umn.edu A postdoctoral position in population genomics and evolutionary medicine is available immediately in the Department of Genetics, Cell Biology, and Development (GCD) at the University of Minnesota, Twin Cities, MN. We are looking for a highly motivated and creative individual to leverage large datasets of long- and short-read genomes to investigate the full spectrum of human genetic diversity in relation to their evolutionary and functional consequences. Our lab specializes in understanding the biological and evolutionary role of structural variants (SVs) that remain largely unexplored in traditional human genetic studies. Required and Preferred Qualifications: Applicants must have a Ph.D., or be within six months of their doctorate degree, in the field of Population Genetics, Evolutionary Biology, Computational Biology, Statistics, Biostatistics, Computer Science, or other disciplines with strong quantitative backgrounds and programming skills. Experience in population and statistical genetics analyses and working with large sequencing data sets are highly desired. The candidate must be highly motivated and independent
[情報] PhD position in human genomicsIf interested in graduate work in population genomics and evolutionary medicine, please contact PingHsun (Benson) Hsieh, Ph.D.: hsiehph [@] umn.edu Our lab in the Department of Genetics, Cell Biology, and Development (GCD) at the University of Minnesota, Twin Cities, MN is looking for multiple highly motivated and creative students to study the full spectrum of human genetic diversity in relation to their evolutionary and functional consequences. Our lab specializes in the application of large long- and short-read genome datasets to understand the biological and evolutionary role of structural variants (SVs) that remain largely unexplored in traditional human genetic studies. Required and Preferred Qualifications: Applicants must have a B.S. degree in the field of Population Genetics, Evolutionary Biology, Computational Biology, Statistics, Biostatistics, Computer Science, or other disciplines with strong quantitative backgrounds and programming skills. Experience in population and statistical genetics analyses and working with large sequencing data sets are highly desired. The candidate must be highly motivated and independent with strong writing and communication skills.
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