Miguel Ángel Redondo, Phd
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Miguel Ángel Redondo, Phd Email & Phone Number

Computational biologist specialized in Machine Learning at NBIS – National Bioinformatics Infrastructure Sweden
Location: Uppsala, Uppsala County, Sweden 6 work roles 2 schools
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Role
Computational biologist specialized in Machine Learning
Location
Uppsala, Uppsala County, Sweden
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Miguel Ángel Redondo, Phd is listed as Computational biologist specialized in Machine Learning at NBIS – National Bioinformatics Infrastructure Sweden, a company with 36 employees, based in Uppsala, Uppsala County, Sweden. AeroLeads shows a matched LinkedIn profile for Miguel Ángel Redondo, Phd.

Miguel Ángel Redondo, Phd previously worked as Bioinformatician specialized in Machine Learning. Long term support. at Nbis – National Bioinformatics Infrastructure Sweden and Postdoctoral Researcher at Université De Montréal. Miguel Ángel Redondo, Phd holds Doctor Of Philosophy - Phd, Biology, Microbial Ecology from Slu - Swedish University Of Agricultural Sciences.

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Email format at NBIS – National Bioinformatics Infrastructure Sweden

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NBIS – National Bioinformatics Infrastructure Sweden

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Profile bio

About Miguel Ángel Redondo, Phd

Computational biologist with 5+ years experience in bioinformatics, data analysis, statistics and machine learning. Currently working as a Bioinformatician specialized in Machine Learning providing scientific support at the DDLS node of evolution and biodiversity.I am a self-driven and team-oriented person willing to take responsibilities and manage multiple projects simultaneously. I am passionate about exploring innovative methods to decipher biological complexity.

Current workplace

Miguel Ángel Redondo, Phd's current company

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NBIS – National Bioinformatics Infrastructure Sweden
Nbis – National Bioinformatics Infrastructure Sweden
Computational biologist specialized in Machine Learning
uppsala, sweden
Website
Employees
36
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6 roles

Miguel Ángel Redondo, Phd work experience

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Postdoctoral Researcher

Project:Predictive modeling of amonia oxidising archaea using phylogenetic signals. Sitting at Pierre Legendre's numerical ecology lab

Feb 2022 - Sep 2023

Phd Researcher

Uppsala, Sweden

Project: Invasion biology of forest Phytohpthora spp. in SwedenTasks: fieldwork, preparation of samples in the lab, analysis of data and writing scientific papers.

Mar 2014 - Apr 2018
Team & coworkers

Colleagues at NBIS – National Bioinformatics Infrastructure Sweden

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2 education records

Miguel Ángel Redondo, Phd education

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What company does Miguel Ángel Redondo, Phd work for?

Miguel Ángel Redondo, Phd works for NBIS – National Bioinformatics Infrastructure Sweden.

What is Miguel Ángel Redondo, Phd's role at NBIS – National Bioinformatics Infrastructure Sweden?

Miguel Ángel Redondo, Phd is listed as Computational biologist specialized in Machine Learning at NBIS – National Bioinformatics Infrastructure Sweden.

Where is Miguel Ángel Redondo, Phd based?

Miguel Ángel Redondo, Phd is based in Uppsala, Uppsala County, Sweden while working with NBIS – National Bioinformatics Infrastructure Sweden.

What companies has Miguel Ángel Redondo, Phd worked for?

Miguel Ángel Redondo, Phd has worked for Nbis – National Bioinformatics Infrastructure Sweden, Université De Montréal, Slu - Sveriges Lantbruksuniversitet, Slu - Swedish University Of Agricultural Sciences, and Washington University In St. Louis.

Who are Miguel Ángel Redondo, Phd's colleagues at NBIS – National Bioinformatics Infrastructure Sweden?

Miguel Ángel Redondo, Phd's colleagues at NBIS – National Bioinformatics Infrastructure Sweden include Annika Sonnek, Rasool Saghaleyni, Tim Schulte, Katja Kozjek, Phd, and Mun-Gwan Hong.

How can I contact Miguel Ángel Redondo, Phd?

You can use AeroLeads to view verified contact signals for Miguel Ángel Redondo, Phd at NBIS – National Bioinformatics Infrastructure Sweden, including work email, phone, and LinkedIn data when available.

What schools did Miguel Ángel Redondo, Phd attend?

Miguel Ángel Redondo, Phd holds Doctor Of Philosophy - Phd, Biology, Microbial Ecology from Slu - Swedish University Of Agricultural Sciences.

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