Publisher
source

Hamed Gilzad Kohan

5 days ago

PhD Student in Computational Pharmacology, Quantitative Systems Pharmacology, and Machine Learning Massachusetts College of Pharmacy and Health Sciences in United States

Degree Level

PhD

Field of study

Physiology

Funding

PhD student opening in the lab; funding details are not specified in the post. The program begins in September 2027 and applications go through the MCPHS admissions process.

Country flag

Country

United States

University

Massachusetts College of Pharmacy and Health Sciences

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Physiology
Computer Science
Biomedical Engineering
Biology
Computational Biology
Medical Science
Pharmacy
Bayesian Statistics
Pharmaceutical Chemistry
Technical Engineering
Statistics
Applied Mathematic
ML

Suggested positions

About this position

Hamed Gilzad Kohan, Associate Professor at Massachusetts College of Pharmacy and Health Sciences (MCPHS), is recruiting PhD student(s) for a computational pharmacology project in Boston, United States.

The position focuses on quantitative systems pharmacology (QSP), model-informed drug development (MIDD), hybrid mechanistic and machine learning methods, and an unsolved clinical prediction problem with experimental validation from collaborating labs.

Ideal applicants should be comfortable with Python, Julia, or R, have some exposure to Bayesian inference, and come from pharmaceutical sciences, engineering, applied mathematics, and/or computational biology. A strong curiosity about physiology is highlighted as especially important.

This is a PhD opening starting in September 2027. The post does not specify funding details, but it states that applications go through the MCPHS admissions process.

How to apply: use the MCPHS application portal link provided in the post. For questions about the project or fit, email [email protected] with a short note describing a modeling or computational project you have worked on.

Funding details

PhD student opening in the lab; funding details are not specified in the post. The program begins in September 2027 and applications go through the MCPHS admissions process.

What's required

Applicants should have fluency in Python, Julia, or R, some exposure to Bayesian inference, and a background in pharmaceutical sciences, engineering, applied math, and/or computational biology. Strong curiosity about physiology is emphasized, and applicants who are unsure are encouraged to apply.

How to apply

Apply through the MCPHS admissions process using the provided portal link. If you have questions about the project or fit, email [email protected] with a short note about a modeling or computational project you have worked on.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors