国际学生入学条件
Minimum requirements for admission to graduate study:
A bachelor's degree or recognized equivalent from an accredited institution.
Minimum GPA of 3.0.
Sufficient undergraduate training to undertake graduate work in the chosen field. This includes such undergraduate majors as: biological sciences, structural biology, physics, math, and chemistry. Laboratory experience is highly recommended.
GRE scores. We do not have set requirements for GRE scores. Outstanding GRE scores alone do not guarantee admission, nor do low scores disqualify an applicant. Three letters of recommendation, minimum (up to five are accepted): Letters of recommendation must be submitted online as part of the Graduate Division's application process. Letters are also due Nov 30, so please inform your recommenders of this deadline and give them sufficient advance notice. It is your responsibility to monitor the status of your letters of recommendation (sending prompts, as necessary) in the online system. Unofficial copies of all relevant transcripts, uploaded as part of the online application, Applicants are required to take the Graduate Record Examination and have their exam scores reported to the University. Top applicants who are being considered for admission will be invited to visit campus for interviews with faculty. If the applicant comes from a country or political entity (e.g., Quebec) where English is not the official language, adequate proficiency in English to do graduate work, as evidenced by a TOEFL score of at least 90 on the iBT test, 570 on the paper-and-pencil test, or an IELTS Band score of at least 7 on a 9-point scale (note that individual programs may set higher levels for any of these)
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雅思考试总分
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雅思考试指南
- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:570
- 其他语言考试:NA
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
By enumerating complete gene repertoires, genomes provide an unprecedented unbiased view of biology. Efforts at Berkeley range from work at Lawrence Berkeley National Laboratory and the Joint Genomics Institute to sequence, catalog, and analyze the genomes of new and model organisms, to theoretical and experimental work to understand genetic circuits. Computational methods are used to discover previously undetected molecular and cellular biological activities, to design computational screens for genetic control elements, and to provide a detailed physical analysis of the biochemical and genetic networks that govern cellular development with the goal of engineering cell and tissue systems.<br><br>Computational approaches at Berkeley are also being used to determine the rules of protein folding, in protein design (with an emphasis on enzymes), to understand the dynamics of signaling networks responsible for cell differentiation and motility, to model the energetics of force generation and structural rearrangement in motor proteins, ion channels and pumps, to model population/disease dynamics, and to model information processing by neural networks in vision, audition and learning, and to design systems for computer vision.
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