Ivan Vogel Email & Phone Number
Who is Ivan Vogel? Overview
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Ivan Vogel is listed as bioinformatician and data scientist at Vitrolife, a company with 296 employees, based in Denmark, Denmark, Denmark. AeroLeads shows a matched LinkedIn profile for Ivan Vogel.
Ivan Vogel previously worked as Senior Bioinformatician at Vitrolife and Bioinformatician at University Of Copenhagen. Ivan Vogel holds Doctor Of Philosophy (Phd), Computer Science And Engineering, Bioinformatics from Brno University Of Technology.
Email format at Vitrolife
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About Ivan Vogel
Bioinformatician currently dealing with computational models predicting genetic variations in human germline. Several years of expertise in SNP array and next-generation sequencing data analysis and machine learning in biology.
Listed skills include Bioinformatics, Ngs Data Analysis, Transposable Elements Annotation, Epigenetics, and 15 others.
Ivan Vogel's current company
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Ivan Vogel work experience
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Bioinformatician
Bioinformatician
NGS data analysis (DNA-seq, RNA-seq, miRNA-seq); transposable element annotation; developing bioinformatics pipelines (bash, python)
Instructor
I was teaching practical sessions in Bioinformatics and Web-design faculty courses and supervising bioinformatics bachelor and diploma theses.
Bioinformatician
Programmer
I worked as a programmer-analyst developing geographical information system.
Software Tester
Colleagues at Vitrolife
Other employees you can reach at vitrolife.com. View company contacts for 296 employees →
Andrea Sykes
Colleague at Vitrolife
Littleton, Colorado, United States, United States
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HS
Helle Schmidt Olesen
Colleague at Vitrolife
Central Denmark Region, Denmark, Denmark
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KJ
Kerstin Jansson
Colleague at Vitrolife
Greater Gothenburg Metropolitan Area, Sweden
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SS
Simon Svejstrup
Colleague at Vitrolife
Aarhus, Central Denmark Region, Denmark, Denmark
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RK
Robbie Kerr
Colleague at Vitrolife
Belfast, Northern Ireland, United Kingdom, United Kingdom
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KF
Kristina Fransson
Colleague at Vitrolife
Gothenburg, Västra Götaland County, Sweden, Sweden
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AM
Allan Mateo
Colleague at Vitrolife
San Diego, California, United States, United States
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MB
Michal Bigos
Colleague at Vitrolife
Truro, England, United Kingdom, United Kingdom
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SS
Simon Sandström
Colleague at Vitrolife
Gothenburg, Västra Götaland County, Sweden, Sweden
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AG
Alma Gunic
Colleague at Vitrolife
Västra Frölunda, Västra Götaland County, Sweden, Sweden
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Ivan Vogel education
Doctor Of Philosophy (Phd), Computer Science And Engineering, Bioinformatics
3 Months Internship At The Institute Of Biotechnology In Prof. Alan Schulman'S Lab, Bioinformatics
Master Of Science (Ms), Bioinformatics
Erasmus Stay During Summer Semester, Informatics
German Bilingual High School
Frequently asked questions about Ivan Vogel
Quick answers generated from the profile data available on this page.
What company does Ivan Vogel work for?
Ivan Vogel works for Vitrolife.
What is Ivan Vogel's role at Vitrolife?
Ivan Vogel is listed as bioinformatician and data scientist at Vitrolife.
Where is Ivan Vogel based?
Ivan Vogel is based in Denmark, Denmark, Denmark while working with Vitrolife.
What companies has Ivan Vogel worked for?
Ivan Vogel has worked for Vitrolife, University Of Copenhagen, Institute Of Biophysics, Ascr, Brno, Brno University Of Technology, and Ceitec - Central European Institute Of Technology.
Who are Ivan Vogel's colleagues at Vitrolife?
Ivan Vogel's colleagues at Vitrolife include Andrea Sykes, Helle Schmidt Olesen, Kerstin Jansson, Simon Svejstrup, and Robbie Kerr.
How can I contact Ivan Vogel?
You can use AeroLeads to view verified contact signals for Ivan Vogel at Vitrolife, including work email, phone, and LinkedIn data when available.
What schools did Ivan Vogel attend?
Ivan Vogel holds Doctor Of Philosophy (Phd), Computer Science And Engineering, Bioinformatics from Brno University Of Technology.
What skills is Ivan Vogel known for?
Ivan Vogel is listed with skills including Bioinformatics, Ngs Data Analysis, Transposable Elements Annotation, Epigenetics, Molecular Genetics, Python, Differential Expression Analysis, and Data Mining.
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