13 Statistics PhD positions at AcademicTransfer in phd

PhD Learning Analytics-based dashboards for supporting students blended learning

potential. In our research team, you proceed with a theory-guided design of dashboards in combination with a student-centered co-design and a thorough statistical evaluation in field experiments. We will

PHD student in Environmental Sustainability and Health Technology Assessment

Microsoft Office, SPSS or similar statistical software, and preferably R or a similar (statistical) programming language You are a team player who wants to contribute to the research agenda of ESHPM. As a PhD

PhD student | Liquid Biopsy

biology/genomics with: Proven affinity for cancer and/or immunology research; Experience with genomic analysis from high-throughput sequencing data and affinity with statistics/machine learning will be a

PhD position Stem cells and Multiple Sclerosis

following requirements: MSc in Neuroscience or Biomedical sciences; Good communicative and collaborative skills; Experience with data analysis/statistics; Critical attitude towards own and other's work; A

PhD on streaming data management

. Good statistical background and knowledge of probability theory Programming in Java or C/C++ English language proficiency, demonstrated by tests (IELTS/TOEFL) Ability to read scientific papers Ability

PhD Position In Algebraic Topological Methods For Dynamical Systems

in dynamical systems, topology, geometry and algebra, as well as in stochastic (statistics, data analytics, probability). Faculty of Science Researchers and students at VU Amsterdam’s Faculty

Phd position - Evaluation of restoration measures for fish in the River Meuse

data; analysing this data critically, using advanced statistical techniques and with deep knowledge of the biological context.; collaborate with relevant stakeholders (in particular Rijkswaterstaat and

PhD Position in Machine Learning for Green Credit Scores

statistics & probability, linear algebra, calculus, optimization, and Markov decision processes. You have knowledge of financial engineering concepts such as credit risk assessment and mitigation, probability

PhD Position in Machine Learning for Digital Fincance

, Sklearn, Conda, Github, etc.). Experience with natural language processing, especially LLM is a plus; Strong mathematical background, in particular statistics & probability, linear algebra, calculus and

PhD position in Large Language Models for Knowledge Harvesting, Sharing, and Management

, and analytical skills. Strong interest and experience in conducting empirical research (e.g., user studies), knowledge in inferential statistics and qualitative methods (e.g., content analysis) and