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Data Scientists for Big Data, IoT and machine learning projects

Do you like working creatively with data analytics, big data, machine learning, visualisation, NoSQL and databases?

You join a new, small and agile team of highly sought for data scientists. You have the freedom to develop solutions across the organisation focusing on creativity and innovation on the conceptual stages of possible new products, services and tools.

Data Engineer for Big Data, IoT and machine learning projects

Do you like to work with new open-source technologies and to help ensure stable connectivity between the data center and our worldwide portfolio of material handling systems?

You join a new, small and agile team of data engineers and data scientists. You will be responsible for the upkeep and maintenance of our existing data pipelines. Additionally, we are constantly developing new solutions, that require us to rethink, modify or upgrade our existing infrastructure and setup.

Part-time programmer with experience in algorithmic fairness – DTU Compute

We seek a part-time programmer to assist with a research project on representation learning for algorithmic fairness in generative AI models.

Your tasks will include designing and implementing tests for demographic bias in generative AI models such as large language models or text-to-image models, as well as actively taking part in writing papers based on those experiments. Work independently but supervised by members of the research team.

Postdoctoral positions in Sustainability, Genomics, Microbiology, and Bioinformatics/Data Science - DTU Biosustain

DTU Biosustain is actively seeking candidates for postdoctoral roles in fields such as sustainability, genomics, microbiology, and bioinformatics/data science.

We welcome applications from researchers in these or related fields, especially those focusing on large-scale data integration using advanced technologies (e.g., long-read, single-cell, microscopy, metabolic) for sustainable food and agricultural production.

PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Do you want to do research on cutting edge machine learning methods?

If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.

During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS.

Senior Software Developer

Do you get excited by building state-of-the-art platforms used by customer-facing web applications?

You will be working together with teams of skilled engineers, product managers, and designers to build amazing products.

• Together with the teams, you design and implement solutions that meet the needs of our business with respect to functionality, time, and quality.
• Work closely with other product teams to ensure that our infrastructure is secure, scalable, and reliable.