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- 2023
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Mark
Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors
(
- Master (Two yrs)
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Mark
Finding ways of optimizing coagulant dosage, for a more sustainable wastewater treatment process
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- Master (Two yrs)
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Mark
Machine Learning-based Lean Six Sigma Process
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- Bach. Degree
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Mark
An Artificial Neural Network Approach to Algorithmic Trading
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- Master (Two yrs)
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Mark
Multi-scale Bark Beetle Predictions Using Machine Learning
2023) In Master Thesis in Geographical Information Science GISM01 20222(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Diffusion-based Vocoding for Real-Time Text-To-Speech
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- Master (Two yrs)
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Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
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- Master (One yr)
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Mark
Predicting Protein Stability with Machine Learning
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- Prof. qual. >4 yrs
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Mark
Using Social Media and Personality Predictions to Anticipate Startup Success
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- Master (Two yrs)
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Mark
Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
(
- Master (Two yrs)