Nico Pfeifer

Nico Pfeifer Email and Phone Number

Full Professor @ Eberhard-Karls-Universität Tübingen
Tübingen, BW, DE
Nico Pfeifer's Location
Tübingen, Baden-Württemberg, Germany, Germany
About Nico Pfeifer

Nico Pfeifer is a Full Professor at Eberhard-Karls-Universität Tübingen. They possess expertise in bioinformatics, machine learning, computational biology, sequence analysis, systems biology and 6 more skills.

Nico Pfeifer's Current Company Details
Eberhard-Karls-Universität Tübingen

Eberhard-Karls-Universität Tübingen

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Full Professor
Tübingen, BW, DE
Nico Pfeifer Work Experience Details
  • Eberhard-Karls-Universität Tübingen
    Full Professor
    Eberhard-Karls-Universität Tübingen
    Tübingen, Bw, De
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  • Eberhard-Karls-Universität Tübingen
    Full Professor
    Eberhard-Karls-Universität Tübingen Jan 2017 - Present
    Tübingen, Germany
    Methods in Medical Informatics
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  • Max Planck Institute For Informatics
    Group Leader (Statistical Learning In Computational Biology)
    Max Planck Institute For Informatics Jan 2013 - May 2021
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  • Max Planck Institute For Informatics
    Researcher
    Max Planck Institute For Informatics Oct 2011 - May 2021
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  • Microsoft Research
    Postdoctoral Researcher
    Microsoft Research Aug 2009 - Aug 2011
    Los Angeles, California

Nico Pfeifer Skills

Bioinformatics Machine Learning Computational Biology Sequence Analysis Systems Biology Algorithms Genomics Statistics Microarray Analysis Latex R

Nico Pfeifer Education Details

Frequently Asked Questions about Nico Pfeifer

What company does Nico Pfeifer work for?

Nico Pfeifer works for Eberhard-Karls-Universität Tübingen

What is Nico Pfeifer's role at the current company?

Nico Pfeifer's current role is Full Professor.

What schools did Nico Pfeifer attend?

Nico Pfeifer attended University Of Tuebingen, The University Of Göttingen, The University Of Göttingen.

What skills is Nico Pfeifer known for?

Nico Pfeifer has skills like Bioinformatics, Machine Learning, Computational Biology, Sequence Analysis, Systems Biology, Algorithms, Genomics, Statistics, Microarray Analysis, Latex, R.

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