Programming in python using modern machine learning, deep learning, and data visualization frameworks; How to develop modern build/test/deploy infrastructure using continuous integration; Developing Big Data workflows that integrate with SQL and NoSQL databases; State-of-the-art algorithms in deep learning and biochemical modeling
We are looking for a student worker that has experience within the python data science ecosystem. You must be also willing to work in an international environment with colleagues and partners from all over the world. Added to this, your CV comprises: Experience programming in Python; Experience working with databases and writing SQL; Experience using version control with e.g. GitHub; Experience setting up and working with continuous integration tools and frameworks; Experience within and/or motivation for working with agile methods
Student worker with data scientist and Python skills Center for Biosustainability Share on Facebook Share on Twitter Share on Linkedin Tuesday 13 Oct 20 Apply for this job Apply no later than 1 November 2020 Apply for the job at Center for Biosustainability by completing the following form. Apply online Do you want to write unique open source code that will contribute towards enabling Big Data and AI in the life sciences? If your areas of interest and competence are data science and python, and you are looking to gain experience while working on projects that will make an impact on the world, this is your chance. Your personal efforts will enable and accelerate our work towards development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc using by applying the tools of Big Data and AI towards the life sciences. All code that you will develop will have a permissive open-source license (e.g., MIT), hosted on GitHub, and will be promoted at the international level via publications and conferences. Skill acquisition opportunities At a more personal level, you will get the opportunity to l earn the latest and greatest algorithms related to personalized medicine and synthetic biotechnology. You must be open to learning new information within the biology domain, and be open to contributing with your software engineering and data science expertise and ideas at our regular meetings in the group. We anticipate that by working with us, you will develop or hone the following skills: Programming in python using modern machine learning, deep learning, and data visualization frameworks How to develop modern build/test/deploy infrastructure using continuous integration Developing Big Data workflows that integrate with SQL and NoSQL databases State-of-the-art algorithms in deep learning and biochemical modeling The projects and tasks Your mission is to develop and optimize a new software platform that can automate handling of large and heterogeneous data sets (i.e., Big Data) from biotechnology experiments. You will do so by helping to develop an infrastructure consisting of a database ackend, core library of state-of-the art optimization and machine learning techniques, and web-based front-end . You will Develop and maintain core software business logic and workflows that are written in python making use of modern informatics modules Develop and maintain build/test/deploy continuous integration infrastructure scripts Develop and maintain scripts for deploying the software on both end-user devices and HPC infrastructure Prototype workflows in Jupyter notebooks Translate Jupyter notebook workflows into a web-based front-end Ideal competencies required for the projects We are looking for a student worker that has experience within the python data science ecosystem. You must be also willing to work in an international environment with colleagues and partners from all over the world. Added to this, your CV comprises: Experience programming in Python Experience working with databases and writing SQL Experience using version control with e.g. GitHub Experience setting up and working with continuous integration tools and frameworks Experience within and/or motivation for working with agile methods If you do not have all of the competencies and experience listed above, and you have initiative, are motivated, and eager to learn, then you are good to go: we anticipate that you will develop these skills fast enough while working within our team. DTU Biosustain - your new department At DTU Biosustain we use synthetic biology techniques for the development of advanced materials and chemicals, smart and sustainable agriculture, and personalized human health applications. We are breaking new land at the absolute forefront of what is possible. We have the funding, the knowhow, and the latest state-of-the-art technology and equipment needed to succeed. You can learn more at biosustain.dtu.dk . Salary and terms of employment Your new workplace is the Novo Nordisk Foundation Center for Biosustainability (CFB) at Building 220, Kemitorvet, 2800 Kgs. Lyngby, Denmark. It is a requirement that you are enlisted in a Danish university or equal to apply for this position. The employment will be covered by the relevant agreement for academic employees by the state. Employment and remunerated for work is linked to the research education. The weekly working hours will be approximately 15 per week. However, the exact number is flexible and can be adjusted based on class workload. Contact and application Please submit your online application no later than 1 November 2020 . Open the “Apply online” link, fill out the form and attach, in English as one PDF file , all materials to be given consideration including CV, cover letter, diploma and if relevant list of publications. If you have any questions, you are very welcome to contact Senior Scientist, Douglas McCloskey at email@example.com . If necessary, we will set up an additional phone call to ensure your understanding of the job and your many opportunities. All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.
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