Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Aarhus University
- University of Copenhagen
- Aalborg University
- Copenhagen Business School , CBS
- Technical University Of Denmark
- Aalborg Universitet
- ;
- ; University of Aarhus
- Copenhagen Business School
- University of Oxford
- 3 more »
- « less
-
Field
-
, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
-
chosen by the hiring committee for the position. A mentoring programme will be offered, tailored to the individual applicant. PACE – Lundbeck Foundation Parkinson’s Disease Research Center PACE is a newly
-
be submitted electronically by clicking APPLY NOW below. Please include Curriculum vitae Diplomas (Master and PhD degree or equivalent) Research plan – description of current and future research plans
-
journals, with a particular focus on the AIS premier journal list (https://aisnet.org/page/SeniorScholarListofPremierJournals ). Candidates are expected to have a promising research pipeline and the ambition
-
expected to take a lead role in teaching at BSc, MSc, and PhD levels. In particular, the applicant will contribute to the teaching and supervision activities in the division, including at the program
-
our vision for a healthier and more sustainable future. We offer bachelor’s and master’s degree programs within biomedical engineering, medicine, medicine with industrial specialization, biomedical
-
related to research and/or teaching within some field of expertise including Data Science and fulfil many of the below listed requirements: Essential experience and skills: MSc (or BSc plus minimum of 2
-
qualitative interview studies, surveys, register data, or experiments. The teaching of the department is very diverse across programs and areas and largely falls within the four research areas of the department
-
group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics
-
computational chemistry or physics will be preferred, but candidates with a solid background in statistics, computer science, and/or mathematics are also encouraged to apply. Programming skills (e.g., Python