Master's Programme in Life Science Technologies
Programme main page
This table shows the important dates for thesis approval process. The deadline for submitting documents for the Degree Programme Committee is approximately 3 weeks before the meeting.
When you are planning for submitting your thesis for evaluation, consider these dates according to your graduation and study right. You need to be present as a student when applying for thesis evaluation. This is critical especially at the end of semesters in July and December.
Submit your documents on the deadline date by 23:59 at the latest.
|Deadlines for submitting applications 2023
|Degree Programme Committee meetings 2023
|Deadlines for submitting applications 2024
|Degree Programme Committee meetings 2024
Application deadlines and meetings of 2025 will be published in October 2024 at the latest.
Master's Theses and Press Releases of LifeTech Students
Below you can find master's theses and press releases written by students of Master's Programme in Life Science Technologies on their master's theses. Master's theses are updated here when they are available in the Aaltodoc publication archive.
Master's theses approved in the autumn semester 2023 and later you can find in the Aaltodoc repository - 1b Maisterivaiheen opinnäytetyöt / Master’s theses by searching with a title or with an author.
|Unsupervised representation learning visualization for brain activity dynamics in REM-sleep
|Phenotype and outcome prediction of depression patients using digital twins
|Mutual information and Pearson correlation on M/EEG time series
|Automated Solutions in Chemical Quality Control
|Attention-based method to predict drug-target interactions across seven protein classes
|Cortical activation in patients with alcohol use disorder during cue-reactivity task and C-tactile skin stimulation: An ERP study
|Treatment effect prediction with continuous interventional flows
|Extreme gradient boosting methods for covariate forecasting of housing market demand in Finnish postal code areas
|Exploration of interpretability methods for Transformer-based language models in the medical context
|Deep Learning Transformers in Diabetic Retinopathy Detection
|Application of Gaussian processes in circadian rhythm detection
|Learning interpretable predictive biomarkers from multi-omics data
|Facilitating Management and Usage of Health-Related Data through Smart Contracts and Blockchains
|A Hybrid Generator Architecture for Controllable Face Synthesis
|Facial Performance Capture through Differentiable Rendering with Facial Rig Prior
|A binary and multicomponent quasi-chemical model for chemical equilibrium calculations in HSC Chemistry software platform
|Cell Type Deconvolution from Bulk RNA-seq Data with Probabilistic Machine Learning
|Planning a Change to an EU Medical Device Regulation Certified Transcranial Magnetic Stimulation Device
|Implementation of Out-Of-The-Box Laboratory Information Management Systems: A Case Study
|Processing noise and artifacts in capnography
|Alternative polyadenylation events estimation from single-cell RNA sequencing data in Schizophrenia
|Localising the social brain with fMRI in relation to different types of love
|Modelling the effects of transcranial magnetic stimulation on a network of cortical neurons with realistic morphology and synaptic connections
|Continuous blood pressure measurement during physical stress with multi-wavelength photoplethysmography
|van der Berg Linda
|Design of non-ribosomal peptide production in microbial cells
|Developing an intracellular screening method for recombinant spider silk proteins
|Chiral Colorimetric Sensing of Cardiovascular Biomarker with Smart Plasmonic DNA Nanoswitches
|Handheld FTIR for quantification of degree of degradation of drugs during pharmaceutical cleaning verification
|Optimization of S. cerevisiae for quinolone production
|A carbon-based electrochemical aptasensor for detection of vancomycin
|Biopolymeric phase-change thermoregulating nanofiber fabrics with antibacterial coatings
|Intracellular characterization of adhesive protein condensation