As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructure. Come and work with around 6,100 colleagues across a range of topics and disciplines at one of Europe's largest research centres.
The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured data sets which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/
The Institute of Bio- and Geosciences (IBG) at the Forschungszentrum Jülich GmbH in Germany investigates important questions in the Bioeconomy. The department IBG-2 Plant Sciences, at the Forschungszentrum Jülich GmbH has a nationally and internationally leading role in quantitative assessment of structural and functional plant traits with non-invasive methods, plant genome analysis and using data management and machine learning. Within the IBG-2 our group focuses on the establishment of database resources for omics and phenotyping data, statistical and machine learning, the analysis of high throughput data and data visualization. In order to further improve these resources we are looking for a Doctoral Student to strengthen its international and interdisciplinary team.
We are offering a
Forschungszentrum Jülich would like to employ more female staff in this area. We are therefore particularly interested in women`s applications.
We also welcome applications from disabled persons.
We look forward to receiving your application, preferably via our online recruitment system on our career site, quoting the reference number 2019D-141.Lue lisää
|Otsikko||PhD Position in a Framework for Meta Data Analysis and Interactive Exploration of large FAIR data sets: A Plant Phenotyping example|
|Job location||Wilhelm-Johnen-Straße, 52428 Jülich|
|Julkaistu||kesäkuuta 26, 2019|
|Viimeinen hakupäivä||Tehtävä täytetään mahdollisimman pian|
|Tieteenalat||Laskenta matematiikassa, luonnontieteissä, koneopissa ja lääketieteessä,   Tiedonlouhinta,   Tietorakenteet,   Tietokannat,   Tietojärjestelmätiede (Business informatics),   Ohjelmointikielet,   Ohjelmistotekniikka,   Analyysi,   Laskennalliset tieteet,    and 2 more. Laskennallinen matematiikka,   Big Data  |