-
applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
-
) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
-
) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Selection
-
substantially equivalent knowledge in some other way. For this position, the applicant must hold a master’s degree in molecular biotechnology, bioinformatics, computer science, or another area that the employer
-
, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
-
KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
-
in biomedicine or biology may also be accepted if supplemented with advanced courses in bioinformatics, biostatistics, or computer science. Likewise, a degree in computer science or biostatistics may
-
, probability theory, etc) A competence in quantitative topics equivalent to a mathematics, statistics, physics, computer science, or engineering degree is required (if your degree was not in one of these domains
-
at a maximum level of 20 %. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in Machine learning, Computer science, Bioinformatics
-
are looking for a highly motivated, independent, and analytical person, with: A degree or the equivalent in scientific data analysis, data science and machine learning, computer science, bioinformatics