Konstantinos Gavriil

Konstantinos Gavriil Email and Phone Number

Principal Investigator and Coordinator @ STACK
Oslo, NO
Konstantinos Gavriil's Location
Oslo, Oslo, Norway, Norway
Konstantinos Gavriil's Contact Details

Konstantinos Gavriil work email

Konstantinos Gavriil personal email

n/a
About Konstantinos Gavriil

Konstantinos Gavriil is a Principal Investigator and Coordinator at STACK. He possess expertise in research, optimization, geometry, algorithms, computer science and 21 more skills. He is proficient in German and English.

Konstantinos Gavriil's Current Company Details
STACK

Stack

View
Principal Investigator and Coordinator
Oslo, NO
Website:
stack-project.com
Employees:
1
Konstantinos Gavriil Work Experience Details
  • Stack
    Principal Investigator And Coordinator
    Stack
    Oslo, No
    View
  • Sintef Digital
    Research Scientist
    Sintef Digital Feb 2021 - Present
    Oslo, Norway
    View

Konstantinos Gavriil Skills

Research Optimization Geometry Algorithms Computer Science Mathematics Numerical Analysis Science Artificial Intelligence Programming Data Analysis Machine Learning Mathematical Modeling Scientific Writing Modeling Matlab C++ C Latex Microsoft Office Python Teaching Applied Mathematics Scientific Computing Pattern Recognition Theory

Konstantinos Gavriil Education Details

Frequently Asked Questions about Konstantinos Gavriil

What company does Konstantinos Gavriil work for?

Konstantinos Gavriil works for Stack

What is Konstantinos Gavriil's role at the current company?

Konstantinos Gavriil's current role is Principal Investigator and Coordinator.

What is Konstantinos Gavriil's email address?

Konstantinos Gavriil's email address is ko****@****ntef.no

What schools did Konstantinos Gavriil attend?

Konstantinos Gavriil attended Technische Universität Wien, Ethnikon Kai Kapodistriakon Panepistimion Athinon, Ethnikon Kai Kapodistriakon Panepistimion Athinon.

What skills is Konstantinos Gavriil known for?

Konstantinos Gavriil has skills like Research, Optimization, Geometry, Algorithms, Computer Science, Mathematics, Numerical Analysis, Science, Artificial Intelligence, Programming, Data Analysis, Machine Learning.

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