Overview
Students in the Neuroscience program in the Princeton University learn to use the latest techniques and approaches in neuroscience and are trained in how to think and how to develop new techniques and approaches. Creativity and originality are essential to cracking the puzzle of the brain.
Neuroscience Ph.D. students take lecture and laboratory courses; learn to read, understand, and present current scientific literature; develop and carry out substantial original research; and present their research at meetings and conferences.
Coursework in the Princeton Neuroscience Ph.D. program is based on the idea that hands-on experience is an essential part of gaining real understanding. During the first year, all students participate in a unique year-long Core Course that surveys current neuroscience. The subjects covered in lectures are accompanied by direct experience in the lab.
Students learn through first-hand experience how to run their own fMRI experiments; to design and run their own computer simulations of neural networks; to image live neural activity; and to patch-clamp single cells, to name a few examples.
This course offers students a unique opportunity to learn the practical knowledge that is essential for successfully developing new experiments and techniques. Previous experimental experience is not required.
Program Offerings
During the first year of their Ph.D., participate in the Neuroscience Core Course. The goal of this two-term core course is to provide a common foundation so that all incoming students have a shared level of competency. This core course aims to teach an overview of all topics through a mix of hands-on laboratory experience, lecture, and computational modeling.
In addition to the Neuroscience Core Course, students will take Mathematical Tools for Neuroscience in their first year. This lecture course will introduce students to the mathematical, statistical, and computational tools necessary to analyze, model, and manipulate biological data sets.Programme Structure
- During the first year of their Ph.D., participate in the Neuroscience Core Course.
- The goal of this two-term core course is to provide a common foundation so that all incoming students have a shared level of competency.
- This core course aims to teach an overview of all topics through a mix of hands-on laboratory experience, lecture, and computational modeling.
- In addition to the Neuroscience Core Course, students will take Mathematical Tools for Neuroscience in their first year.
- This lecture course will introduce students to the mathematical, statistical, and computational tools necessary to analyze, model, and manipulate biological data sets.
Key information
Duration
- Full-time
- 60 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Campus Location
- Princeton, United States
Disciplines
Neuroscience View 105 other PhDs in Neuroscience in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Optional: Applicants may submit a statement with their application, briefly describing how their academic interests, background, or life experiences would advance Princeton’s commitment to diversity within the Graduate School and to training individuals in an increasingly diverse society. Please submit a succinct statement of no more than 500 words.
Tuition Fees
Additional Details
Princeton guarantees full funding for its Ph.D. candidates for all years of regular program enrollment.
Living costs
Princeton
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Neuroscience.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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