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Postdoc in Probabilistic Modelling & Bioinformatics – DTU Health Tech
Kgs. Lyngby, Denmark
Job Description
Do you want to be part of a team that's pushing the boundaries of systems biology? Do you want to help us shape the future of omics analysis? We are looking for a skilled and enthusiastic post-doc in bioinformatics to created advanced probabilistic models that will enable better interpretation of omics data by utilizing isoforms-level analysis.
If this sounds interesting, consider joining the Isoform Analysis group in the Section for Bioinformatics at the Technical University of Denmark (DTU). Here you will work closely with talented researchers that want to make a difference. Importantly you will be joining a collaborative group where you get a lot of support but also a lot of autonomy all within a section where you will get a diverse set of scientific inputs. You can read more about the background and the group at www.healthtech.dtu.dk/Isoform-Analysis .
Responsibilities
Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze protein isoforms.
About Us
My leadership philosophy can be simply stated as: people first. Our research is driven by a passion for science, but never at the expense of personal wellbeing! I firmly believe that science should be an exhilarating and enjoyable journey. Although I am not yet an experienced group leader, I take my role seriously and remain committed to continuous learning.
In our research group, I don't perceive myself as an authoritative figure who makes all the decisions. Rather, I see myself as a guide and facilitator for you. My primary role is to provide unwavering support to help you achieve our shared goals by navigating the right paths and eliminating obstacles along the way. I am committed to fostering an environment where scientific ideas, diversity and personal growth thrive.
Requirements
The following requirements must be met by the successful candidate:
- Strong programming skills
- Strong background in probabilistic models or strong math/stats background
Any of the following features are highly desirable, but not strictly required:
- Experience with developing bioinformatic tools (webserver/package)
- Experience with analyzing large and complex datasets
- Strong background in molecular/cellular biology
- Experience with applied bioinformatics (transcriptomics/proteomcis)
As a formal qualification, you must hold a PhD degree (or equivalent).
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
The period of employment is 2 years. Starting date: 1 September 2024 (or according to mutual agreement). The position is a full-time position.
You can read more about career paths at DTU here .
Further information
Further information may be obtained from Kristoffer Vitting-Seerup, [email protected] .
You can read more about the DTU Health Techn and the Section for Bioinformatics at www.healthtech.dtu.dk/english and www.healthtech.dtu.dk/english/research/research-sections/section-bioinformatics .
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .
Application procedure
Your complete online application must be submitted no later than 1 June 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)(max 1 page)
- CV
- Academic Diplomas (MSc/PhD – in English)
- List of publications
- Letters of recommendation (mandatory)
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion, or ethnic background are encouraged to apply.
DTU Health Tech engages in research, education, and innovation base on technical and natural science for the healthcare sector. The Healthcare sector is a globally expanding market with demands for the most advanced technological solutions. DTU Health Tech creates the foundation for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Tech’s expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 140 PhD students and a technical/administrative support staff of about 160 persons, of which a large majority contributes to our research infrastructure and related commercial activities.
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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
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Job Info
- Job Identification 3465
- Job Category VIP B
- Posting Date 04/30/2024, 07:00 PM
- Apply Before 06/01/2024, 05:59 PM
- Locations Ørsteds Plads, Kgs. Lyngby, 2800, DK
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