Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Copenhagen Business School , CBS
- ;
- Aalborg Universitet
- Copenhagen Business School
- Queen Mary University of London
- Technical University Of Denmark
- 2 more »
- « less
-
Field
-
”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
-
, fostering an inclusive and supportive research environment. Your profile · You hold a PhD in Molecular Biology, Microbiology, Plant Biology, or a related field. · You have strong expertise in molecular and
-
that the candidate has demonstrated research experience and is able to participate in international fieldwork, meetings and dissemination activities. As a formal qualification, you must hold a PhD degree (or
-
an international research environment. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. Who we are At the Department of Chemistry and Bioscience (BIO), our high-level
-
Job Description Are you a talented, self-motivated, and collaborative researcher who thrives in multidisciplinary environments? Are you excited by the idea of studying the carbon cycle in
-
. The position will be available for a 3-year period. You will be part of a research environment focusing on applying digital solutions to map spatial and temporal variability of crop growth as well as evaluate
-
international conferences. Your profile Applicants should hold a PhD in physical chemistry, material science or similar related subjects and have experience and expertise in small-angle X-ray scattering(SAXS
-
environment, as this is a prerequisite for groundbreaking research. In a diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research
-
Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
-
organoids. The working hypothesis is that tissues will form and mature by month-long culture of the organoids in an engineered environment closely matching the human body. We have already successfully