Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, Bioinformatics, Computational Biology, Biostatistics, Statistical Genetics, Medical Statistics, Mathematics or similar. The candidate should have a strong background in second-generation sequencing analyses (RNA
-
understanding genetic architecture). Qualifications and specific competences The postdoc position focuses on developing statistical methods, therefore the candidates must be able to demonstrate they have skills
-
, but preference will be given to computational and applied mathematics, data science and statistics, analysis, geometry and algebra. Candidates must have a Ph.D. in mathematics or related field, a
-
designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5
-
logic Mathematics » Number theory Mathematics » Probability theory Mathematics » Statistics Medical sciences » Medicine Medical sciences » Veterinary medicine Neurosciences » Other Pharmacological
-
in econometrics/statistics Selection process Please see https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhanci… Website for additional job details https://resurseumane.ase.ro/non
-
postdocs, and 14 lecturers. Position Summary The Mathematics Department invites applications for it's pro-tempore instructor pool. Position are part-time, temporary, limited-duration appointments not
-
postdocs, tenure-track positions, tenured positions, and positions for distinguished professorship. The Group of Uncertainty Artificial Intelligence is one of the core branches of the College of Mathematical
-
, statistics, systems science and control theory, information theory, operations research and econometrics, theoretical computer science and cryptography, mathematical theory of artificial intelligence, etc
-
- Knowledge of mathematical probability and statistics, and optimization methods - Knowledge of machine learning, including supervised and unsupervised learning, deep learning, and model evaluation - Knowledge