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Tayseer Al Sabbagh is listed as Consultant in Application and Data Management at Siemens, a company with 282486 employees, based in Munich, Bavaria, Germany. AeroLeads shows a matched LinkedIn profile for Tayseer Al Sabbagh.
Tayseer Al Sabbagh previously worked as Werkstudent at Siemens and Master Thesis: Reconstruction Sodium MRI Images using Deep Learning at Friedrich-Alexander-Universität Erlangen-Nürnberg. Tayseer Al Sabbagh holds Master Of Science - Ms, Medical Engineering, 2.3 (Good) from Friedrich-Alexander-Universität Erlangen-Nürnberg.
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Tayseer Al Sabbagh is a Consultant in Application and Data Management at Siemens. He possess expertise in medizinprodukte, elektrotechnik, matlab, sensoren, qlik sense and 18 more skills. He is proficient in Deutsch and Englisch.
Listed skills include Medizinprodukte, Elektrotechnik, Matlab, Sensoren, and 19 others.
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A career timeline built from the work history available for this profile.
München, Bayern, Deutschland
As an application consultant I am responsible basically for optimizing and defining Tax, banking, payroll, and HR worldwide processes by establishing IT solutions that ensure the data quality and minimize the time and effort consumption. Beginning from analyzing the business case with the customer, through defining the process and evaluate it by building.
Fürth Und Umgebung, Deutschland
Softwareentwicklung: C#.NetDatenbank-Management / Data Mining: SQL, Qlik Sense, Excel
Erlangen Und Umgebung, Deutschland
To accelerate the quantitative 23Na MRI by under-sampling k-space and compensating the under-sampling artifacts by using a convolutional neural network (U-net), optimizing the data preparation and analyzing the effect of k-space acquisition methods on the compensation process.The effect of different normalization methods, applying hamming filter and the.
Erlangen Und Umgebung, Deutschland
Codierung medizinischer Volumen durch HEVC mittels geeigneter Kostenfunktionen in der Raten-Verzerrungs-Optimierung:Implementierung neue Verzerrungsfunktionen in C++, um die Rechenmethoden von den Kosten der Codierung in HEVC zu modifizieren.
Erlangen Und Umgebung, Deutschland
Teilnahme an der Entwicklung MEMS-Score: Ein Android-App, das die im Handy implementierte Sensoren evaluiert.- Umgang mit Magnetometer.- Umgang mit Android Studio (Java, XML).- Umgang mit GitHub.
Weisendorf, Bayern, Deutschland
Marketing, Product Management, Implants Hip, Knee, Spine
Erlangen Und Umgebung, Deutschland
Other employees you can reach at siemens.com. View company contacts for 282486 employees →
Sulaiman Edathole Edathole
Colleague at Siemens
Saudi Arabia, Saudi Arabia
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PC
Praveen Chikkagoudar
Colleague at Siemens
Bengaluru, Karnataka, India, India
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SY
Santosh Yadav
Colleague at Siemens
Mumbai, Maharashtra, India, India
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MD
Martin Demleitner
Colleague at Siemens
Bayreuth, Bavaria, Germany, Germany
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CB
Christopher Blakely
Colleague at Siemens
Spring, Texas, United States, United States
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WM
Wilfried Metz
Colleague at Siemens
Heemskerk, North Holland, Netherlands, Netherlands
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YH
Yannik Hauser
Colleague at Siemens
Frankfurt, Hesse, Germany, Germany
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PR
Pradnya Rangdal
Colleague at Siemens
Pune, Maharashtra, India, India
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YM
Yuan Ming
Colleague at Siemens
Chaoyang District, Beijing, China, China
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SB
Sarit Birwadekar
Colleague at Siemens
Israel, Israel
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Damascus University
Quick answers generated from the profile data available on this page.
Tayseer Al Sabbagh works for Siemens.
Tayseer Al Sabbagh is listed as Consultant in Application and Data Management at Siemens.
Tayseer Al Sabbagh is based in Munich, Bavaria, Germany while working with Siemens.
Tayseer Al Sabbagh has worked for Siemens, Friedrich-Alexander-Universität Erlangen-Nürnberg, Proleit, Peter Brehm Gmbh, and Volkshochschule Erlangen.
Tayseer Al Sabbagh's colleagues at Siemens include Sulaiman Edathole Edathole, Praveen Chikkagoudar, Santosh Yadav, Martin Demleitner, and Christopher Blakely.
You can use AeroLeads to view verified contact signals for Tayseer Al Sabbagh at Siemens, including work email, phone, and LinkedIn data when available.
Tayseer Al Sabbagh holds Master Of Science - Ms, Medical Engineering, 2.3 (Good) from Friedrich-Alexander-Universität Erlangen-Nürnberg.
Tayseer Al Sabbagh is listed with skills including Medizinprodukte, Elektrotechnik, Matlab, Sensoren, Qlik Sense, Medizinische Bildgebung, Java, and Bildverarbeitung.
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