Mikhail Isaev

Mikhail Isaev Email and Phone Number

Scientia Lecturer @ UNSW
Melbourne, VIC, AU
Mikhail Isaev's Location
Melbourne, Victoria, Australia, Australia
Mikhail Isaev's Contact Details

Mikhail Isaev personal email

About Mikhail Isaev

Mikhail Isaev is a Scientia Lecturer at UNSW. He possess expertise in research, mathematical modeling, applied mathematics, algorithms, latex and 2 more skills. He is proficient in English and French.

Mikhail Isaev's Current Company Details
UNSW

Unsw

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Scientia Lecturer
Melbourne, VIC, AU
Website:
unsw.edu.au
Employees:
17217
Mikhail Isaev Work Experience Details
  • Unsw
    Scientia Lecturer
    Unsw
    Melbourne, Vic, Au
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  • Unsw
    Scientia Lecturer
    Unsw Nov 2024 - Present
    Сидней, Новый Южный Уэльс, Австралия
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  • Monash University
    Lecturer
    Monash University Aug 2017 - Oct 2024
    Melbourne Area, Australia
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  • Unsw
    Research Fellow
    Unsw Jun 2016 - Aug 2017
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  • Moscow Institute Of Physics And Technology (State University) - Mipt, Phystech
    Assistant Professor
    Moscow Institute Of Physics And Technology (State University) - Mipt, Phystech Aug 2014 - Aug 2017
    Lectures in Tomography and ISP (online from 2015)
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  • Australian National University
    Research Fellow
    Australian National University Jan 2015 - Jun 2016
    Research, supervising of PHD students.
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Mikhail Isaev Skills

Research Mathematical Modeling Applied Mathematics Algorithms Latex Matlab Statistics

Mikhail Isaev Education Details

Frequently Asked Questions about Mikhail Isaev

What company does Mikhail Isaev work for?

Mikhail Isaev works for Unsw

What is Mikhail Isaev's role at the current company?

Mikhail Isaev's current role is Scientia Lecturer.

What is Mikhail Isaev's email address?

Mikhail Isaev's email address is mi****@****ail.com

What schools did Mikhail Isaev attend?

Mikhail Isaev attended Moscow Institute Of Physics And Technology (State University) (Mipt).

What skills is Mikhail Isaev known for?

Mikhail Isaev has skills like Research, Mathematical Modeling, Applied Mathematics, Algorithms, Latex, Matlab, Statistics.

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