The resource will be enriched with the development of mathematical models and computational tools that would aid the understanding of COVID-19 spread and epidemiological impacts in countries of the Eastern Mediterranean region. The toolkit will further guide the design of interventions and decision taking.

Climate and human activities such as land use change and global trade, as well as the phenotypic plasticity of vectors and pathogens give rise to uncertainties regarding the habitats and distribution ranges of disease vectors and vector-borne pathogens. Understanding the environmental dependency of vectors and pathogens is important for developing predictive models and helping to prevent or effectively manage future disease outbreaks.

This project aims to introduce the intern to the rigor of mathematical approaches and their use in developing tools for improving the understanding of complex biological systems and their intricate dependency to the environment. The intern will focus on one of the many topics of interest, such as the dynamics of mosquito breeding sites or the effect of daylight in cold hardiness, derive logical conclusions from the literature, and construct, analyze, and visualize mathematical models helping to improve our understanding and the accuracy of our predictions.

References:

Erguler K. sPop: Age-structured discrete-time population dynamics model in C, Python, and R [version 2; peer review: 2 approved]. F1000Research 2018, 7:1220

The intern will have a basic introduction to the following:

   1. Mathematical modelling for ecosystems and vector-borne/infectious diseases

   2. Predictive model development for improving understanding of the environmental drivers of vector-borne diseases

For the classification of the proteins SCOPe (Structural Classification of Proteins — extended)  will be used. The SCOPe database was conceived at the MRC Laboratory of Molecular Biology and developed in collaboration with researchers in Berkeley.

 This project aims to develop a deep learning methodology based on convolutional neural networks to classify and predict the secondary structure of the proteins, alpha and beta structures including combinations like (a/b, a+b) with a small dataset. The proposed methodology will be similar to Siamese Networks and produce a robust model to classify imbalanced data and learn from semantic similarity (places classes/structures close together).

Basic/Good Knowledge of Python

Development of a report that will be as a tutorial for any user willing to build a Fresnel collector.

Students from Software Engineering, Computer Science, Artificial Intelligence Science, Mechanical /Electrical/Aeronautical Engineering, Physics, or any relevant field, preferably in their last year of their Bachelor or diploma degree.

Students with more qualifications are welcome while students within the first years of their study can be also considered.

- Analysis of various HPC tools for Python

- Performance results on CPU and GPU systems

- Development of software with the tested tools

Thematic Domain 

The Hybrid Monte Carlo algorithm is the method of choice for large scale simulations in lattice gauge theories with dynamical fermions [1].

New field configurations are proposed via numerical integration using molecular dynamics corrected at the end of each trajectory by an accept-reject step.

The project will focus on a novel approach [2,3], which generalized the accept reject step and can minimize computational costs.

Results can be obtained in an existing toy model and compare to lattice QCD applications [4] in order to illustrate the potential but also the drawback of the generalized method.

[1] S. Duane , A.D. Kennedy , B.J. Pendleton , D. Roweth, Hybrid Monte Carlo, Phys.Lett.B 195 (1987), 216-222

[2] Sohl-Dickstein J., Mudigonda M., DeWeese M.~R., 2014, arXiv, arXiv:1409.5191, https://arxiv.org/abs/1409.5191

[3] Campos C.~M., Sanz-Serna J.~M., 2015, JCoPh, 281, 365. doi:10.1016/j.jcp.2014.09.037, https://arxiv.org/abs/1407.8107

[4] G.Cossu, P.Boyle, N.Christ, C.Jung, A.Juettner and F.Sanfilippo, Testing algorithms for critical slowing down, EPJ Web Conf.175 (2018), 02008

doi:10.1051/epjconf/201817502008, [arXiv:1710.07036 [hep-lat]].

Objectives:

(1) Assist with macroscopic assessment of osteological collections for the identification of suitable samples

(2) Assist with sample selection and documentation

(3) Sample preparation: The intern will assist with the process of sample preparation in the laboratories.

The candidate therefore will have a chance to learn about different techniques that are available for assessment and the required sample preparation for such analysis, including transmitted light microscopy, Electron Microscopy, and Synchrotron Radiation (XRF and FTIR)

This internship is therefore specifically of interest to those that aspire to gain experience in a laboratory setting and learn about different state of the art techniques that are available in bioarchaeology, and learn about the process of sample preparation.

The objectives of the internship are as follows:

(1) Review what kind of Ancient Games are found throughout Ancient Cyprus, specifically incorporating recent studies on the subject

(2) Review their find location and circumstances (with a special interest in possible burial contexts)

(3) Make a visual catalogues of the archaeological evidence of these games, and assess their current location (e.g. museums)

(4) Assist in taking a creative approach to rework the game tactics and visuals into the FF-MAC project with an outreach and didactic objective   

This internship is specifically of interest to those who have both an interest in archaeology as well as a creative and didactic interest for educating and public outreach

Expected Results

 - created a thorough literature review as well as a photo catalogue of ancient games found in Cyprus, with a distinction in different time period  

- assisted in the development of visuals and graphics for public outreach components of the FF-MAC project

Enthusiasm for archaeology and history

Experience with literature search and review

Experience with programs such as photoshop and illustrator is desirable but not essential

Experience with Object photography is desirable but not essential

Thematic Domain

Develop an understanding of the application of iterative methods for the solution of nonlinear partial differential equations.

Implement numerical algorithms for solving nonlinear partial differential equations arising in problems from science and engineering.

1) Execution of geometrical and architectonical surveys of CyI’s Athalassa Campus.

2) Documentation of buildings’ geometry and related construction attributes.

3) Creation of a 3D model of the campus including open air spaces and its environment.

4) Geometric and material visualisation of the architecture of buildings at the campus.

5) Identify and model optimized architectural solutions the implementation of which could increase the liveability of outdoor spaces.

2) (video) animations of a walk through the existing campus.

3) (video) animations of a walk through the redesigned campus.

- Acquaint the intern with the profession of RMA

- Provide on-the-job experience in a world-class research institution

Identify and analyse structured and unstructured data related to KPIs, goals and objectives set by the Operations Units and assist with the development of relevant Reports and Dashboards

Identify and analyse structured and unstructured data related to KPIs, goals and objectives set by the Operations Units and assist with the development of relevant Reports and Dashboards

 - Knowing legislation on health and safety related to chemicals and standard procedures

 - Learning to read a Material Safety Data Sheet (MSDS)

 - Learning to conduct a risk assessment on hazardous chemicals

 - Conducting an analysis to replace hazardous substances with others with minor risk

 - 3D model of the pilot building
       - Improve capability to work with Revit
 - 2D drawings of evacuation plans
       - Improve capability to work with AutoCad
 - Being able to organize a first response team.
 - Update on current legislation.
 - Real work experience in a technical office
 - Site inspection experience