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律师不让我review 自己的140表格,求破解
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律师不让我review 自己的140表格,求破解# EB23 - 劳工卡
q*o
1
代别人发个position,VA
Charles Brinkman
Brinkman Executive Search
804-410-4238
www.linkedin.com/in/charlesbrinkman
MUST have published at one of these conferences:
KDD, ICML, ICM,ReCSYS AND ICDM are published with articles
Looking for a top end Machine Learning academic who LOVES publishing and
wants to work in an environment where he can work on massive data and build
algorithms and logic to drive Recommender Systems!
Basically this person will be researching/ working/ building the algorithms
and mathematical equations for the software developers to build and deliver
to large internationally recognized Massive video predictive recommendation
systems!
Must haves: top tier comp sci school, published in this arena; links to
published articles.
Our client is seeking a Machine Learning Researcher with experience in
machine learning. This person will be responsible for researching, designing
, implementing, and maintaining algorithms/systems as well as providing
guidance to the company in its research decisions. The ideal candidate will
possess strong analytical skills in problem analysis, mathematical
formulation, algorithm development, and software implementation. Of
particular interest is someone with experience in data mining,
recommendation systems, cluster analysis, graphical models, or natural
language processing.
Responsibilities
· Apply knowledge of recent techniques and research to invent and propose
new approaches and methodologies
· Quickly learn and adapt to diverse tools and technologies
· Communicate complex ideas effectively to technical and non-technical
audiences
· Collaborate with other Engineering teams to ensure algorithms are
delivered into production systems
· Solve complex machine learning problems
· Perform large-scale data analysis and mathematical modeling while
integrating data from multiple sources
· Solve problems of large dimension in a computationally efficient and
statistically effective manner
· Develop algorithms that help users find the content they’re looking for
– or don’t yet know they’re looking for – based on explicit and implicit
data
· Quantify model performance
· Present ideas and communicate design recommendations to management
· Innovate, patent, and publish research material as appropriate
Requirements
· Master’s Degree in Computer Science, Statistics, Math, or other related
field; PhD preferred
· Experience with statistical modeling techniques, e.g. logistic regression
, SVM and SVD
· Comfortable working in a Linux environment
· Experience with large, sparse datasets
· Experience in Matlab or Octave
· Experience with at least one of the following: Java, C, or Python
· Experience with MapReduce, Hadoop * , or Amazon EC2 is a plus
· Ability to work independently and contribute to a team
Please send interested resumes to c*****[email protected]
Note: Candidates of varying experience levels may be considered.
Expectations, responsibilities, and compensation will be commensurate with
experience. Open to US and Non-US citizens (sponsorship available).
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w*s
2
找了个中国某top大学的assistant professor, 行吗? 主要是想找一个用了我
research的人。 人家倒是挺愿意帮忙的,就是说怕自己影响不够大。
多谢
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C*o
3
律师准备递交140了,我想review一下,看有无任何错误.
但律师说,", the I-140 petition is reviewed and signed by your company",不让
我看,
大家也是这个情况么? 如何破?
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i*t
4
就带着不牛的 月不牛的 越好
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s*5
5
你的律师是对的,I-140主要是你公司的情况,特别是财务状况,不会给你review的。
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w*s
6
多谢。这样越显得我牛,是吗?
那大家怎么都在contribution里面说牛人引用了自己的文章啊?

【在 i******t 的大作中提到】
: 就带着不牛的 月不牛的 越好
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i*t
7
这是个矛盾啊
当然最好是你和牛人一样牛 那样就无所谓了
如果你不牛, 找牛人 当然会有风险啊
所以我说最好头衔一大推 然后皮也不是的 呵呵
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K*N
8
挺好的。好好吹吹。
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m*y
9
说他牛就牛,USCIS的人懂不了那么多。你先吹他。然后说他都引用你的research了,
那你不就比他牛了。
换个角度想想,挖掘挖掘。
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i*t
10
USCIS 看case的人没有这么弱啊
大家每次都把他们说的 技校毕业似的
应该都是正规大学毕业吧

【在 m****y 的大作中提到】
: 说他牛就牛,USCIS的人懂不了那么多。你先吹他。然后说他都引用你的research了,
: 那你不就比他牛了。
: 换个角度想想,挖掘挖掘。

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