Application Form for the 8th i-CoMSE School: Machine Learning for Molecular Science at the University of Minnesota Twin Cities
Please complete this application form to attend the 8th i-CoMSE school focused on machine learning for molecular science. The workshop will be held at the University of Minnesota Twin Cities (Minneapolis) from July 22nd to 26th, 2024. It is an in-person workshop, and no remote participation is available.
 
Application deadline is May 15th, 2024. 
You will be notified by May 27th, 2024
Registration deadline upon acceptance: June 3rd, 2024

Registration and attendance in the workshop are currently limited to participants at US institutes, national labs, and US-based industries. The workshop material will be made accessible publicly after the workshop. Please see i-comse.org for further information. After being accepted, you will receive a notification for registration. 

Limited funding support will be available for selected students to cover partial travel and housing costs. The decisions will be made by the organizing committee.

All accepted participants must register and are anticipated to pay a $100 registration fee to confirm their seats. The registration fee will be waived for participants from non-PhD-granting and primary undergraduate institutions (PUIs).

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Email *
First Name, Last Name *
Your email address: We will contact you primarily through this email address. *
Please provide a phone number *
Name of your institute *
Name of your primary research advisor (Last name, First name) *
Email of your primary research advisor  *
Academic/Professional Career Level
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If you selected Other in the Professional career level question, please specify your role.
Gender: (needed for dorm room assignments) *
Which race or ethnicity best describes you? (Optional but encouraged) *
Required
Will you present a poster at the poster session? *
If you will present poster, please provide poster title
Experience with Python *
How much experience do you have with machine learning? *
Briefly provide further details about your experience with machine learning and molecular simulations. 
Provide some description of the types of machine learning and molecular simulations related research you have performed, and machine learning courses/training that you have taken.
Briefly provide details about your experience with using high performance computing (HPCs)?
Provide some description of what types of simulations you have performed on HPCs, what tools and scripts you have used in HPC environments. E.g: "I have used PBS scheduling to run MD simulations in Gromacs."
Please provide a brief reasoning for why you want to attend the workshop. How will the workshop benefit you? *
We will provide application based examples during the workshop. Are there any particular systems that you would like for us to consider for such examples?
Do you have access to local supercomputing center? *
A copy of your responses will be emailed to the address you provided.
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