Thanks, and hope to see you thursday! Vincent Spruyt twitter id: @sentiance
As an experienced data analyst, you are ready to kick-off a new adventure in a fast-paced environment where you can work with the latest machine learning technologies and data science tools.
You will be part of our Data Science Team and you are passionate about machine learning and data analysis.
Using advanced data analytics, you will form hypotheses and draw meaningful insights about user behavior and user segmentation. As a marketing data scientist, you will explore relations between users and their preferences, discover interesting segments, perform advanced clustering and dimensionality reduction techniques.
You will carry out research that will improve our general understanding of our users, and communicate your findings to other team members in order to initiate new platform development cycles.
You will apply your statistical and mathematical background to real-life big-data problems, and use your machine learning knowledge on a day to day basis.
You will work closely & interact with our Data Engineering Team as your work is used to improve our models and is pushed through our release process.
Your main objectives will be the design and implementation of data mining and analysis algorithms and the communication of reports and quality metrics for current production processes.
Desired Skills & Experience:
You have a masters degree or PhD in computer science or related field.
You are an expert in advanced analytics and are experienced in hypothesis testing.
You possess a deep understanding of clustering, manifold learning and predictive modeling techniques.
You have good knowledge of and experience with any of Python, Matlab or R.
You have a strong mathematical background and analytical mindset.
You are fluent in English. Dutch is a plus.
You can work independently and take matters into your own hands.
The ability to quickly learn new technologies and successfully implement them is essential.
Experience with any of the following is considered a plus:
In order for your application to be considered, please ensure you fulfill the following criteria before applying:
Be passionate about IT
Have completed, or are due to complete, a master or PhD degree in one of the following subjects: IT, Mathematics, Statistics, Computer Science, Engineering, Operations Research or any related field
Have tangible examples on your CV of extra-curricular activities that demonstrate your capabilities outside of your degree subject.
Be available for the full training programme (6 weeks from start date) Are you ready to take the challenge?
Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join here. Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to firstname.lastname@example.org . Candidates can also post their availability here.
The Comparative & Integrative Genomics lab of the Department Plant Biotechnology & Bioinformatics (Ghent University) – Plant Systems Biology (VIB), is currently looking for a PhD student in Bioinformatics to work on a research project focusing on Plant Regulatory Genomics.
Our objective is to extract biological knowledge from large-scale experimental data sets using data integration, comparative sequence and expression analysis, and network exploration. We try to identify new aspects of genome biology, especially in the area of gene function prediction, gene regulation and evolutionary biology.
tackle specific research questions about gene regulation through the integration of experimental -omics data types (e.g. RNA-Seq and ChIP-Seq) and computational biology methods
develop and apply automatic data processing routines as well as comparative genomics methods to infer regulatory networks across different plant species
scientific research towards a PhD degree (4 year period) in the framework of a FWO funded research project
work in close collaboration with colleague PhD students
requirement of attending and presenting your work at international scientific meetings
publish in peer-reviewed international journals
you have a master in Bioinformatics, Computer Science, or a degree of Bioscience engineering
you are enthusiastic about scientific research and have a strong interest in computer science, genomics and biology
you are familiar with Linux/Unix and have knowledge of Python, Perl or Java