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Apply Time
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🔹در مسیر اپلای از آغاز تا پرواز در کنار شما هستیم

🔸ارتباط با ما:
@Dr_Apply

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@ApplyTime_Positions

پرداخت ارزی:
@Pay_Time
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Fully funded PhD Fellowships at INSAIT
The Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT), created in partnership with ETH Zurich and EPFL, seeks candidates for Ph.D. Positions in Computer Science and Artificial Intelligence with Full 5-year Fellowships.

INSAIT is the first research institute in computer science and artificial intelligence located in Eastern Europe whose mission is to become one of the world's leading research and innovation powerhouses. At INSAIT, students benefit from:

Mentorship by top professors from world-class universities such as MIT, CMU, ETH Zurich, Yale, EPFL.
Outstanding working conditions that provide the freedom to think and the space to learn and grow, with a compensation of €36,000 / year gross.
Rolling admission process, accepting PhD applications at any point during the academic year.
To apply, students must hold a B.Sc. or a M.Sc. degree (or be within the last year of completing either) in computer science, data science, mathematics, physics, statistics, or electrical engineering. We welcome all excellent candidates with a strong academic background who are keen on conducting world-class research in the general field of AI and computer science.

INSAIT is a strong proponent of diversity in science, and as such, we strongly welcome applications from all under-represented groups in the field.

When ready to apply, go to: https://insait.ai/phd/

Best regards,

Boriana Shalyavska
Head of Academic Admissions and Relations
https://insait.ai/
👍1
PhD Student - Department of Electronics and Information Systems, Ghent University, Belgium

Doctoral fellow - Department of Electronics and Information Systems, Ghent University, Belgium

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✔️ @ApplyTime
🌐 https://applytime.ir
Postdoc and senior scientist positions in ML and statistical genetics for neuropsychiatric disease

I have open postdoc and senior scientist positions to work on a National Institute of Mental Health funded project to develop latent factor and network models of ​​neuropsychiatric disease genetics. This multidisciplinary project is a collaboration with Dr. Niamh Mullins at the Icahn School of Medicine at Mount Sinai, an expert in neuropsych genetics and member of the Psychiatric Genomics Consortium.

My lab is joint between the New York Genome Center (NYGC) and Columbia University Computer Science and Systems Biology. We develop probabilistic ML and DL methods for genetics and genomics applications. Beyond this specific project there are opportunities for collaboration with diverse genomics research groups at NYGC and the rich ML/AI community at Columbia and across NYC more broadly.

Official job postings are here (but feel free to email me directly if you are interested!)

Staff Scientist (machine learning and statistical genetics), Knowles Lab

Postdoctoral researcher (machine learning and statistical genetics), Knowles Lab

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David A. Knowles (he/him/his), PhD.
Core Faculty Member, New York Genome Center.
Assistant Professor, Computer Science, Columbia University.

Interdisciplinary Appointee, Systems Biology, Columbia University.

Affiliate Member, Data Science Institute, Columbia University.

https://daklab.github.io/
✔️ @ApplyTime
✔️ @ApplyTime
✔️ @ApplyTime
✔️ @ApplyTime