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The project will require coding for data analysis and statistics, as well as NGS data analysis. Experience with either of these would be advantageous but an eagerness and commitment to learn is more important
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available1Company/InstituteMax Delbrück CenterCountryGermanyCityBerlinGeofield Contact City Berlin Website https://www.mdc-berlin.de Street Robert-Rössle-Straße 10 Postal Code 13125 E-Mail presse@mdc-berlin.de Phone
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Postdoc Pathways) If you enjoy working in a very collaborative, supportive and international team, you love writing and improving code, you like analytical thinking and constructive problem-solving, and you
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) If you enjoy working in a very collaborative, supportive and international team, you love writing and improving code, you like analytical thinking and constructive problem-solving, and you want
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Contact State/Province Saxony-Anhalt City Magdeburg Website http://www.lin-magdeburg.de Street Brenneckestraße 6 Postal Code 39118 E-Mail alessio.attardo@lin-magdeburg.de STATUS: EXPIRED X (formerly Twitter
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English as a working language • A concept for best practices regarding code documentation • Strong communication skills What we offer: • an attractive working place near the Baltic Sea • modern
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
Postal Code 27570 E-Mail info@awi.de Phone +49 471 4831-0 Fax +49 471 4831-1149 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in