Gonabad University

The Algorithmic Bioinformatics Lab is recruiting a PhD student funded by TeamPerMed Center for Data-Enriched Personalised Medicine. You will work with Professor Veli Mäkinen. The general scope of the work is studying compressed data structures and applying them in the development of scalable algorithms to genome analysis tasks. More specifically, this position is devoted to studying haplotype phasing and imputation with noisy data. The noisy data is resulting from approaches to protect privacy of genomic content of individuals. The position offers collaboration opportunities with domain experts at the University of Tartu, as well as with experts in differential privacy (Assistant Professor Teresa Anna Steiner at the Univ. Southern Denmark and Professor Antti Honkela at the Univ. Helsinki) and in statistical and computational genomics (FIMM Group Leader Simone Rubinacci at the Univ. Helsinki). A start date in early September 2026 is ideal, but it is flexible. The application deadline is June 22, 2026 (at 23:59 UTC +3). Requirements A master's degree in computer science or a related topic Prior experience in algorithms in bioinformatics context and compressed data structures is desirable Excellent English skills In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes. We offer The opportunity to do fundamental research A world class academic community that promotes diversity, international engagement and equality. We encourage all qualified applicants from diverse backgrounds to apply for our positions. 3-year full-time contract A starting salary of ca. 2800 euros/month. The salary will develop in accordance with the progress. Occupational health care and other social benefits Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high-quality of life, services, and work-life balance Application instructions Applications shall be submitted through the University of Helsinki´s recruitment system and include the following document CV  Transcripts from previous degrees A motivation letter (max 2 pages) Contact information of two referees to provide reference letters upon request  External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. Additional information For more information on the position, please contact Professor Veli Mäkinen (veli.makinen@helsinki.fi). With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. *** The Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate.

Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to design, develop and evaluate schemes for quantum key distribution networks and systems. Key Responsibilities: Participate in the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Design, develop and evaluate solutions given problem statements in key generation and relaying across multiple hops in quantum key distribution (QKD) networks. Demonstrate functionality of solutions. Document and publish the project works. Job Requirements: Have relevant knowledge in the areas of quantum key distribution (QKD) protocols, e.g., BB84, E91, MDI, TF, etc. If there is no prior experience, it is acceptable if the candidate can self-learn the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous. Experience in designing, developing and evaluating solutions for a given problem statement using simulation tools, such as Matlab, Python, etc., and documenting and publishing the works in technical reports or papers. Knowledge of network placement optimization for various topologies, e.g., Erdos-Renyi random network, scale-free, small world, etc, will be advantageous. key Competencies: Understand existing quantum key distribution (QKD) protocols, networks and systems. Able to perform resource placement optimization in computer/communication networks. Proficient in technical writing and analytical skills. Show strong initiative and take ownership of work. Able to work in a team with members of diverse backgrounds.

Department: Department of Physiotherapy and Rehabilitation – Faculty of Medicine Deadline: 22 Jun 2026 Start date: 1. 9. 2026 Job type: part-time Job field: Science and research | Education and schooling The Dean of the Faculty of Medicine of Masaryk University appoints a selection procedure for the position Assistant Professor of the Department of Physiotherapy and Rehabilitation (with shorter working hours 4-12 hours per week) The Department of Physiotherapy and Rehabilitation is an educational and research institution of the Faculty of Medicine of Masaryk University. Provides teaching of study programs in non-medical fields. You can also learn more about us on our website, Facebook or Instagram. You can also learn more about us on our website, Facebook or Instagram. The workplace: Brno The scope of your work will be: Participation in theoretical and practical teaching at the department Preparation of study and teaching materials Membership in state final examination committees Involvement in the education of students in doctoral study programs Independent research and development activities, including publication and presentation of research results Participation in the organizational support of research and teaching activities, including related administrative tasks Required qualification: Completed university education in general medicine, or equivalent education attained abroad Completed education in a doctoral study program or specialized medical qualification in Rehabilitation and Physical Medicine or a related field in accordance with Act No. 95/2004 Coll. Teaching experience in the field of physiotherapy Professional experience in the field of rehabilitation medicine Ability to conduct independent professional and scientific work, including publication activity Ability to actively participate in international conferences or professional seminars Active command of the English language Excellent command of the Czech language, both spoken and written Proactive approach, initiative, and willingness to pursue further education Civic and moral integrity We offer: Background of a prestigious and successful institution. Work in an inspiring intellectual environment with a strong focus on interdisciplinary collaboration. Opportunity to participate in teaching at a unique simulation center. Professional growth and opportunities for continuous education. Employee benefits (8 weeks of vacation, contribution to pension insurance, free vaccination against tick-borne encephalitis, and more). How to apply: Send your application by the above-written deadline - please use the link in the Electronic Application section (see below). Your application must include the following documents: a structured CV, an overview of scientific and publishing activities, photocopies of qualification papers and diplomas, contact information of at least two references (name, position, telephone number). After successfully sending your application, you will receive an automatic confirmation by e-mail. You can provide more information via e-mail: bobusova@med.muni.cz.