29 statistics scholarships at PhD Programme "Gene Regulation in Evolution" in Denmark

PhD Studentship in Machine Learning to Predict Nitrogen Leaching at Field Level

description above and upload it as a PDF in the application. Qualifications and specific competences Applicants for the PhD position should (expect to) have an MSc degree in a computational statistical field

PhD Stipend in Fermented Ingredients

the statistical design of experiments, the analysis of the fermented materials by physico-chemical methods(LC-MS, NMR) and specific functional assays, as well as the assessment of the beneficial effect

PhD scholarship in Infectious Disease Epidemiology - DTU Food

, epidemiology, public health, or a closely related field. Experience in field epidemiology, data collection, management, and statistical analysis. Proficiency in statistical software (e.g., R, GIS, Python) and

PhD scholarship: Pioneering Electric Heavy-Duty Freight Transport – DTU Management

, Statistics, or a related field, and with the interest and ambition to carry out a PhD study within the transport science domain. The successful applicant will work on research focused on the fleet replacement

PhD scholarship – Development of flexibility service in EV-dominated power systems using AI tools - DTU Wind

/or Python) Ability to work effectively with data and applied statistics Knowledge of power systems or mathematical optimization is appreciated Ability to work in a project team and take responsibility

PhD scholarship in In Situ Fabrication of Quantum Emitters in Hexagonal Boron Nitride – DTU Nanolab

large datasets acquired under challenging conditions. This allows us to gain statistically relevant data and map out the influence of external parameters while working under relevant conditions. In situ

PhD scholarship in Measurement Methods, Reliability, and Uncertainty in Acoustic-Mechanical Microsystems – DTU Electro

methods and techniques to study and characterize sound and vibration on the millimetre and sub-millimetre scale as well as statistical methods to evaluate metrological aspects such as reproducibility

PhD position in Computational Electrocatalysis – DTU Physics

Preferable knowledge of statistical and machine learning methods You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree

PhD scholarship in Key Determinants of Sustainable Lifestyles - DTU Sustain

include: Create a digitalized platform for sustainable lifestyles, bringing together the individualized household data from Danish statistics on household consumption and spending, including energy

PhD scholarship in Building Information Modelling and Automation for Model Compliance with Rule-based Analyses – DTU Construct

Kristoffer Negendahl. We offer an opportunity to develop expertise in various domains, such as advanced building physics simulation techniques, machine learning approaches and statistical modeling