Duties: Your research will be to develop new chemical transformations, especially in water, for applications towards, transparent, functional, and chemical recyclable polymeric materials. Your particular focus will be on method development
Requirements: We are searching for a person with a PhD degree in area of Organic Chemistry focus on Catalysis, merit is given to documented interest in advanced NMR characterization, either though scientific publications or documented coursework. The personal qualities that we are looking for are, structured, organized and a deep interest in fundamental research. Fluency in English, both verbally and in writing is a requirement

Duties: The position includes experimental work on the interaction between free radicals (ROS and RNI) produced by activated host cells and the intracellular effect of new antibiotics against Mycobacterium tuberculosis. Methods included are measurement of ROS and RNI via -omics methods, flow cytometry including single-cell analysis and experiments in human macrophages and in a lung tissue model. Genetic and epigenetic effects on M. tuberculosis are also a part of the project which includes bioinformatic analysis. The position will also include design and analysis of experimental data and writing of reports for publication in scientific journals
Requirements: We are searching for a PhD in bioinformatics, molecular biology or microbiology. Documented experience and interest in bioinformatics, preferably within bacteriology and infection experiments in inflammatory cells is a requirement for the position

Duties: Your tasks will consist conducting research in medical genetics and epigenetics with a focus on research on the epigenetic mechanisms behind sex-bias in pediatric T-cell acute lymphoblastic leukemia (T-ALL). The project will also include the study of how skewed X inactivation may contribute to T-cell-related disease. You will be part of an active research group where you are expected to present your work at both local and international meetings
Requirements: We are looking for you who have a PhD in medical genetics and meet the following requirements: SMART-Seq2 of primary human lymphocytes; EM-Seq library preparation, sequencing and bioinformatics analysis; Extensive experience of DNA methylation analysis, including 5hmC and 6mA in human cells; Bioinformatics expertise, especially with respect to DNA methylation in cancer; Flow cytometry of human T-cells

Duties: In your future work, you will assist in various experimental steps, such as cell culture, protein and gene analysis, image analysis, data extraction and analysis, and microscopy of tissue samples. There may also be some work with animal experiments that requires special training to be carried out
Requirements: We are looking for you who have a master's degree in biomedicine or comparable knowledge and experience, as well as several years of experience in laboratory work. You are expected to have a team-based way of working and a good ability to document methods and results. The position requires documented knowledge of cell culture (epithelium and nerve cells) and microscopy (fluorescence, light). It is a requirement that you have previous experience with mouse models of eye diseases and experience with exosomes (handling and application in vitro), and experience with laboratory experiments with RNA/DNA

Duties: Research topics include distributed (cell-free) MIMO, integrated sensing and communication, passive and active sensing, exploiting macro-diversity with distributed sensing implementations, bistatic/multistatic radar sensing, fusion of sensing signals, and drone detection
Requirements: You have graduated at Master’s level in Electrical Engineering or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Electrical Engineering or Applied Mathematics. Alternatively, you have gained essentially corresponding knowledge in another way

Duties: Doctoral students are also expected to contribute to the Philosophy Division’s research environment. They will actively participate in the division’s research seminars and relevant research activities. Additional duties may include teaching, course design, and other teaching-related tasks. The holder of the position is expected to be present at the division on a day-to-day basis
Requirements: You have graduated at MA level or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses (see below for more details). Alternatively, you have gained essentially corresponding knowledge in another way

Duties: We are looking for a PhD student working in the intersection of generative machine learning and computational statistical inference. Generative models based on diffusion processes have emerged as a prominent approach to machine learning with impressive performance in many application domains. A well-known use case is for image generation (these models are the main workhorse for tools such as DALL-E and Stable Diffusion) but the same technology has also shown great promise in applications as diverse as probabilistic weather forecasting, biochemistry, and materials discovery
Requirements: You have graduated at Master’s level in machine learning, statistics, computer science, or a related area. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience

Duties: Doctoral students are also expected to contribute to the Philosophy Division’s research environment. They will actively participate in the division’s research seminars and relevant research activities. Additional duties may include teaching, course design, and other teaching-related tasks. The holder of the position is expected to be present at the division on a day-to-day basis
Requirements: You have graduated at MA level or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses (see below for more details). Alternatively, you have gained essentially corresponding knowledge in another way