Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
(a recent PhD graduate, who completed the PhD in the last two years) in Biology, Microbiology, or related field with solid experience in genomics and metagenomics data analysis. The successful
-
skills with a high level of proficiency in English and the ability to work effectively in a team as well as individually. REQUIRED QUALIFICATIONS PhD with experience in bioinformatics, statistical genetics
-
. PhD holders with a strong publication record, a background in attachment theory, and experience with the Adult Attachment Interview, the Attachment Script Assessment, or narrative coding/natural
-
multidisciplinary environment consisting of PhD-level scientists, graduate and undergraduate students. Qualifications: PhD in Computer Science, or related field, preferably with a strong publication record in
-
(a recent PhD graduate, who completed the PhD in the last two years) in Biology, Microbiology, or related field with solid experience in genomics and metagenomics data analysis. The successful
-
a Post-Doctoral Associate to work on models at the interface between statistical mechanics, conformal field theory and probability theory. The successful applicant will work with Prof. Camia and his
-
Group webpage. The Post-Doctoral Associate will be appointed for a duration of two years. Applicants must hold a PhD degree in Mathematics, Statistics or Theoretical Computer Science, as
-
to complement the research strength of the team, such as: Mathematical Statistics, Quantitative Finance, and Probability Machine Learning, Quantum and Scientific Computing Optimization Non-linear Dynamics
-
multidisciplinary environment consisting of PhD-level scientists, graduate and undergraduate students. Qualifications: PhD in Computer Science, or related field, preferably with a strong publication record in
-
. PhD holders with a strong publication record, a background in attachment theory, and experience with the Adult Attachment Interview, the Attachment Script Assessment, or narrative coding/natural