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Bertil Schmidt Email & Phone Number

Tenured Full Professor (W3) at University of Mainz
Location: Frankfurt Rhine-Main Metropolitan Area, Germany 9 work roles 2 schools
2 work emails found @uni-mainz.de 1 phone found masked preview LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 1 phone

Work email b****@uni-mainz.de
Direct phone ***-****
LinkedIn Profile matched
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Current company
Role
Tenured Full Professor (W3)
Location
Frankfurt Rhine-Main Metropolitan Area, Germany
Company size

Who is Bertil Schmidt? Overview

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Quick answer

Bertil Schmidt is listed as Tenured Full Professor (W3) at University of Mainz, a with 4001 employees, based in Frankfurt Rhine-Main Metropolitan Area, Germany. AeroLeads shows a work email signal at uni-mainz.de, phone signal, and a matched LinkedIn profile for Bertil Schmidt.

Bertil Schmidt previously worked as Dean Of Students at Johannes Gutenberg University Mainz and Adjunct Professor at Singapore Institute Of Technology. Bertil Schmidt holds Ph.D., Computer Science from Loughborough University.

Company email context

Email format at University of Mainz

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{first}.{last}@uni-mainz.de
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AeroLeads found 2 current-domain work email signals for Bertil Schmidt. Compare company email patterns before reaching out.

Profile bio

About Bertil Schmidt

Experienced Full Professor with a demonstrated history of working in the research industry. Skilled in Computer Science, Graphics Processing Unit, HPC, Parallel Computing, Bioinformatics, Big Data, and Algorithms. Strong education professional with a Ph.D. focused in Computer Science from Loughborough University.

Listed skills include High Performance Computing, Algorithms, Bioinformatics, Computer Science, and 15 others.

Current workplace

Bertil Schmidt's current company

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University of Mainz
University Of Mainz
Tenured Full Professor (W3)
Germany
Website
Employees
4001
AeroLeads page
9 roles

Bertil Schmidt work experience

A career timeline built from the work history available for this profile.

Tenured Full Professor (W3)

Mainz Area, Germany

Chair of Parallel and Distributed Architectures @ JGU MainzResearch Interests:- HPC & Big Data- Sequence Analysis- Bioinformatics- Next-Generation Sequencing - CUDA-enabled GPUs - Computational Science - Data Science- Deep Learning for Medical Imagaing

Head Of Department

Mainz Area, Germany

Head of the Computer Science Department @ JGU Mainz

Apr 2014 - Mar 2016

Senior Researcher

Melbourne, Australia

Victoria Research Lab at Melbourne Uni

Jan 2008 - Jun 2008
2 education records

Bertil Schmidt education

FAQ

Frequently asked questions about Bertil Schmidt

Quick answers generated from the profile data available on this page.

What company does Bertil Schmidt work for?

Bertil Schmidt works for University of Mainz.

What is Bertil Schmidt's role at University of Mainz?

Bertil Schmidt is listed as Tenured Full Professor (W3) at University of Mainz.

What is Bertil Schmidt's email address?

AeroLeads has found 2 work email signals at @uni-mainz.de for Bertil Schmidt at University of Mainz.

What is Bertil Schmidt's phone number?

AeroLeads has found 1 phone signal(s) for Bertil Schmidt at University of Mainz.

Where is Bertil Schmidt based?

Bertil Schmidt is based in Frankfurt Rhine-Main Metropolitan Area, Germany while working with University of Mainz.

What companies has Bertil Schmidt worked for?

Bertil Schmidt has worked for University Of Mainz, Johannes Gutenberg University Mainz, Singapore Institute Of Technology, Nanyang Technological University, and Nicta.

How can I contact Bertil Schmidt?

You can use AeroLeads to view verified contact signals for Bertil Schmidt at University of Mainz, including work email, phone, and LinkedIn data when available.

What schools did Bertil Schmidt attend?

Bertil Schmidt holds Ph.D., Computer Science from Loughborough University.

What skills is Bertil Schmidt known for?

Bertil Schmidt is listed with skills including High Performance Computing, Algorithms, Bioinformatics, Computer Science, Distributed Systems, Scientific Computing, Parallel Computing, and Machine Learning.

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