 Lion King, Garth Fagan. The troupe performed two new pieces, In Conflict and A Moderate Cease, along with some revival pieces, all featuring the company's blend of modern, Afro-Caribbean, and classical dance. Pictured here is a performance of Bob Marley's “No woman no cry”.
Summer Holiday activities with a difference – kids mountain bike fun with expert guidance.
We have plenty of fun games and activities to keep the kids entertained while learning and exercising, such as; Limbo, Slow Race, Balance Box and Long Jump.
Full information about this course is available on the Youth Academy page.Macro Oil Compositions
A series of digital artworks using Macro photography to capture unique compositions at the pre-printing stages of Ladoza's abstract paintings. He then edits these images using the same techniques he uses for his landscape photography.
They are printed on high quality textured archival paper making them much more than a flat digital print, giving them an almost painted feeling themselves.
From this series of compositions a new project has developed and information will be coming soon.
Artwork prints are available to buy.
For any enquiries head to the contact page above.My usual routine: 
Garnier curly hair shampoo and conditioner. I let my hair air dry. I only wash it every 2-3 days. 

What you see in the after picture though: I don't know the specific products that the hair stylist used, just that the brand was oribe. She gave me a blow out, which I didn't love but I appreciated that she didn't curl my hair per se. When I got home, I got my hair wet in the shower, then I let it air dry. 
I couldn't be happier with the results! I had no idea that a haircut could change my waves so much. I guess my hair was super heavy before, but wow!Line managers are involved in day-to-day handling of people-related matters, making it crucial that they understand and apply HR best practice, as well as abide by the relevant laws affecting the employer-employee relationship. This 2-day course is designed to take participants through the complete employee life-cycle, from engagement all the way through to termination. It will equip participants with practical tools to better prepare them for the challenges they will face back at the workplace.
Written test (50 multiple choice questions) This course can also be run in-house, where the content can be tailored to suit individual organisational needs.
Production, Engineering, ICT, Operations, Procurement, R&D, etc.
 HR professionals whose experience has been in a single functional area.
 Owners of companies with direct people responsibilities.
The training will be conducted in a participative manner using role-plays, case studies, videos, group discussions and individual assignments. A multiple choice test covering all the modules will be conducted at the end of the course to ensure understanding and competence. Certificates of Competence will be issued to those participants who achieve a minimum score of 70% in the test.
US$300.00 per participant. Inclusive of course material, lunch and refreshments.
Possible research topics to be undertaken in the Systems, Power & Energy Division of the James Watt School of Engineering are given below. If you are interested in any of these projects, you should email the prospective supervisor for discussing your intentions.
The School of Engineering has a limited number of scholarships to offer to excellent candidates, application shall be discussed with the potential supervisor. The deadline for application is 31 January 2020. See details on Scholarships on our our Postgraduate Research page.
Alternatively, you are welcome to identify a different project topic within any relevant research areas by emailing your project proposal to the Head of Division, Prof Sandy Cochran (Sandy.Cochran@glasgow.ac.uk), who will direct you towards a prospective supervisor with expertise in that area.
Currently unfunded. Please consult the Postgraduate Research section for information on applying for support.
Granular materials are among the most widely-traded substances, as they include many fuels, foods, and feedstocks. They also cover large parts of the Earth, both surface and subsurface, and parts of other asteroids, moons, and planets as well.
These materials are difficult to handle. They can behave as quasi-fluids, but more often they are almost uniquely challenging.  Similarly, they can stop the rotation of a drilling auger, and jam in the chutes of handling systems.
One solution may be ultrasonic vibration. Our initial studies have shown that sonicated tools can ‘fluidise’ granular materials, making them flow almost like a liquid. With viscosity reduced, penetrators and augers can operate more easily. We can push through the materials, and handle them as we wish, with lower forces and less power. We may even be able to pump them like liquids. This has the potential to facilitate both trade and planetary exploration, where landers might have to drill through regolith using low forces and torques in a low gravity environment.
This project will require the design of resonant ultrasonic tools, and the construction of autonomous mechatronic drilling rigs to carry out multiple penetrometry and augering tests in granular materials such as glass microspheres. Applications to use external, variable-gravity facilities are also anticipated.
This PhD project will develop miniaturised ultrasonic sensing devices for vascular stents. The goal is to produce a device that can continually monitor the state of the stent, detecting if a blockage is reforming.
Despite significant improvements in healthcare provision, cardiovascular disease (CVD) remains the number one cause of death in the World. Atherosclerosis is the pathological condition that underlies two thirds of heart attacks and strokes, which in turn contribute to more than 4.3 million premature deaths in Europe per annum. The economic burden to the European Union for cardiovascular disease is estimated at over €196 Billion. The current clinical approaches of stenting coronary artery plaques with a small metal stent device or heart by- pass surgery have significant risk and associated costs. This proposal attempts to build towards a smart stent device that can be deployed using existing NHS catheterisation facilities, yet provides advanced technological properties that are predicted to reduce patient morbidity and mortality. A stent which can interact and report on its own vessel status, such as when the vessel re-blocks or clots would be transformative. In this project we will investigate how placing a miniature ultrasonic transducer within the stent before it is deployed could help to monitor the health of the vessel and the stent within it. Current research on smart stents include using the electrical impedance change associated with the build up of tissue around the stent to detect if it is becoming re-blocked however the ultrasonic approach may provide greater information about the amount and position of material building up giving key clinical data informing on whether an intervention is necessary.
The project will build on an existing interdisciplinary collaboration between Dr Steven L Neale who is in Medical and Industrial Ultrasonics (MIU) in the School of Engineering and Dr John Mercer in the Institute of Cardiovascular and Medical Sciences. The work will involve building the miniaturised ultrasonic transducer and testing it using a variety of vascular stents and tissue phantoms and will be based both within the school of Engineering and the British Heart Foundation building and as such it is suitable for an enthusiastic and diligent Engineering/Physics student with interests in developing technology for biomedical applications.
The PhD project will develop an Artificial Intelligence (AI) to control a swarm of small robots. The AI will be demonstrated and tested through the creation of an Optoelectronic Tweezers (OET) test-bed which will allow the physical robot swarm to attempt specific assembly tasks, evaluating how the coordination of the individuals helps to attain the goal set.
The OET system allows the control of microscopic particles through light patterned electrical fields. Highly polarisable metallic particles are attracted to areas of high electrical field which appear when the OET device is illuminated thus the position of the particles can be controlled by changing the light pattern applied. This “touch free” control is ideal for testing control strategies as the individual elements can be rearranged simply by applying the desired pattern in light. In this project we will be considering each discrete particle as a microscopic actuator able to push a small electronic component or its neighbouring actuators. We will think of these actuators as “microbots” which can be programmed to perform assembly tasks by creating an AI which control the light pattern applied to the device. The assembly goals that we will be targeting will include pushing individual electronic Surface Mount Technology (SMT) components into their positions in a circuit so that the swarm of microscopic robots will be able to achieve a macroscopic assembly goal. We will also test out small scale versions of larger world control scenarios such as simulating search and rescue tasks by creating microscopic mases for the swarm to explore. This will give us the ability to test out large swarms of particles in a real-world environment and see how they cope with the inevitable problems that are associated with large swarms such as some individual robots not performing in the manner expected.
The project will be in Dr Steven L Neale’s micromanipulation research group where we have experience with the Optoelectronic Tweezers system (https://www.gla.ac.uk/schools/engineering/staff/stevenneale/) and all necessary training in microfabrication and micromanipulation will be provided. This project will develop two different control strategies for the microbot swarm and test the against each other which will be developed with the help of Prof Colin McInnes and Dr Euan McGookin who both have experience of different robotics control strategies. The project will involve both developing the AI algorithms