1. Isolation and characterisation of culturable members of the microbiome of healthy babies
Skin rash is often seen in infants. According to the literature, we assume that one of the causes of such a skin reaction may be the interaction of microbes present on the skin and the development of the immature immune system. The purpose of this task is to isolate bacteria on the skin of healthy infants, to determine antimicrobial activities and, in certain strains, to determine their compatibility for use for probiotic purposes. The student will primarily master microbiological and molecular biological methods.
Mentor: dr. Aleš Lapanje (firstname.lastname@example.org)
2. Development of novel preparative procedures for production of radiopharmaceuticals for interest in theranostic applications
Field of theranostics becomes more and more important for modern diagnostics and treatment of different cancer diseases. Student will try to develop novel procedures for preparing radiopharmaceuticals of interest for theranostic applications, such as Lu-177. Special emphasis will be in development of procedures for carrier free radiopharmaceuticals, which could be produced in research reactor TRIGA. After initial literature search, student will focus on most promising radiopharmaceutical and develop effective route for its production.
Mentor: Marko Štrok (email@example.com)
3. Evaluation of Human biomonitoring data at the manucipality level
The first Slovenian human biomonitoring (HBM) program was implemented to estimate the level of exposure to selected environmental pollutants of adults in childbearing age living in Slovenia and to establish the first national references levels. The study included over 1000 participants from 12 study areas across Slovenia. The aim of this work is to compare HBM with spatial and environmental data at the municipality level and to explore whether there is a link between them. The student will master basic knowledge on human biomonitoring and use of regression analysis for linking different data sets.
4. Interpretation of citizen science based indoor air quality data
The candidate will interpret data on indoor air quality collected with the help of low-cost sensors in 80 households in the Ljubljana area. He/she will organize the data into a single database, examine appropriate methods for data gaps detection, set criteria for filtering of the outliers, and finally interpret the data using time-activity diaries and according to the characteristics of the micro-locations where the data were collected. The latter data will be extracted using GIS (Geographic Information System) tools.
Mentor: dr. David Kocman (firstname.lastname@example.org)