Mathematical Statistics
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- 2025
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Mark
A COMPREHENSIVE FRAMEWORK FOR PATIENT-ADAPTIVE MODELING OF VENTRICULAR ELECTROCARDIAC DISEASE - INTEGRATING BIOPHYSICAL SIMULATION WITH A NOVEL PHYSICS-INFORMED DEEP LEARNING APPROACH FOR INVERSE RECONSTRUCTION
(
- Master (Two yrs)
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Mark
Wildfire Patterns in the Iberian Peninsula: Statistical Modeling Using Temporally Varying Coefficients
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- Bach. Degree
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Mark
Portfolio Optimization with Machine Learning: Predicting Market Returns and Portfolio Weights
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- Master (Two yrs)
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Mark
Interest Rate Modelling for Counterparty Credit Risk and Credit Valuation Adjustment
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- Master (Two yrs)
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Mark
Modeling Black Carbon Pollution Sources in Europe using Linear Regression
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- Bach. Degree
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Mark
Numerical Modeling for Subcutaneous Injection Pressure
2025) In Master’s Theses in Mathematical Sciences NUMM03 20251(
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences
Mathematics (Faculty of Sciences)
Mathematical Statistics- Master (Two yrs)
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Mark
The Electric Slide Towards Net-Zero: Pinpointing the Conditions for Heavy-Duty Emission Reductions
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- Master (Two yrs)
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Mark
Generating surface topography of paperboard using diffusion models
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- Master (Two yrs)
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Mark
Algorithm Implementation and Statistical Evaluation of a Novel Failure Criterion Governing the Release of Slab Avalanches
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- Master (Two yrs)
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Mark
An implementation and evaluation of different change point detection algorithms for identification of performance regressions in systems
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- Master (Two yrs)