University of Freiburg

Department: School of Nursing Vacancy ID: 039483 Closing Date: 15-Feb-2026 The Role  Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking excellent academics to join our staff as an Assistant Professor/Lecturer in Clinical Skills and Simulation-Based Education. The persons appointed will have a proven record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointees will be expected to build a strong research profile in clinical skills and simulation-based education, They will be responsible, with other members of the team, for developing and managing the clinical skills and simulation suite whilst teaching therein through a diverse range of modalities including face-to-face in the classroom and skill laboratory (synchronous and asynchronous teaching), simulation and the virtual learning environment. In this role, they will also expand knowledge and practice through research and scholarly activity. Salary  Assistant Professor / Lecturer: €64,753 – €102,539 p.a. (7 points) Assistant Lecturer: €42,099 - €71,998 p.a (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 15th of February 2026. Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Assistant, Associate, or Full Professor in Graduate Institute of Mind, Brain and Consciousness (GIMBC) College of Humanities and Social Sciences (CHSS)   The College of Humanities and Social Sciences (CHSS) at Taipei Medical University invite applications for Assistant, Associate, or Professor position in the Graduate Institute of Mind, Brain and Consciousness (GIMBC). Contract type: Full-time Job Description- Taipei Medical University is looking for a motivated member with Ph.D. degree with outstanding academic achievements in the field relating to brain science or a related discipline from an accredited university, college, or institution, including public, private, or foreign universities recognized by the Ministry of Education(R.O.C), who will contribute to our international research profile in a cross-disciplinary environment. The new appointee will be based at the College of Humanities and Social Sciences (CHSS) at Taipei Medical University. Salary $83,720NTD~$198,770NTD per month + benefits Selection Criteria Qualifications Ph.D. with outstanding academic achievements in the field relating to brain science or a related discipline from a public or accredited private university, independent college, or from a foreign university or independent college recognized in accordance with the regulations of the Ministry of Education Successful candidates should have knowledge of cognitive neuroscience, Computational neuroscience, including but not limited to deep learning, Neuroimaging (MRI, EEG, MEG, ultrasound or optical imaging), especially multi-modal imaging, Brain stimulation (TMS, tDCS, or tACS), and A background in the scientific study of the self and consciousness and a proven track record of high-profile publications Successful candidates should have experience of research with neurological or psychiatric patients and cross-disciplinary research experience in, e.g., neuroscience with philosophy, anthropology, or related fields Preference will be given to candidates with teaching experience and demonstrate a proven track record of high-profile publications The positions is for candidates with expertise in neuroscience or relevant research areas Demonstrated ability to apply for research grants, with research experiences in conducting large projects, in writing research projects, International experience and history of international collaborations, and independent research will be advantageous Demonstrated ability to provide English as a medium of instruction, innovate in teaching and research, and work in teams Candidates with teaching experience will be advantageous Passion for teaching and talent cultivation Exhibits great communication skills, teamwork ability, and capacities in international exchange and cooperation Excellent English proficiency and research enthusiasm, good communication with well-developed interpersonal skills Application Documents: Please submit an application package consisting of the following documents via TMU New Faculty Application System (http://hr2sys.tmu.edu.tw/HRApply/default.aspx). Curriculum vitae and autobiography A photocopy of education and working experience diploma (any foreign diploma should be verified in advance by the overseas office, Republic of China (Taiwan) Personal statement detailing research plans and motivation for applying to GIMBC Two letters of recommendation Overview of teaching experience and planned teaching focus Applicants of all nationalities are welcome. Taipei Medical University commits itself to offering equal employment opportunities to all applicants, independent of their social background, age, race, religion, gender, or sexual orientation Deadline and Submission Interested candidates please send the application package listed above via TMU New Faculty Application System (http://hr2sys.tmu.edu.tw/HRApply/default.aspx) by 17:00 GMT+8, February 04, 2026 Further information All inquiries about this position can also be sent to Ms. Han at frannie@tmu.edu.tw

At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2029 Reference no.: 5031 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! About the team: This is an opportunity to work towards a PhD in physics and to conduct world-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization and sustainable energy production at a global scale within the coming decades. They all fundamentally involve energy transfer and chemical dynamics at interfaces where molecules, electrons, and light interact to deliver a certain function. The underlying mechanisms of ultrafast dynamics at surfaces triggered by light or electrons are not well understood, which, for example, limits our ability to design photocatalyst materials that deliver optimal light absorption, catalytic activity, and energy transport. Molecular simulation methods and quantum theoretical calculations in principle can address this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical dynamics at surfaces and in materials. Your personal sphere of influence: As a university assistant (praedoc), you will be part of the Computational Materials Discovery group of Professor Reinhard Maurer. This project will focus on the development of novel machine learning representations of electronic structure and quantum operators. These surrogate models will be combined with mixed quantum-classical dynamics simulation approaches to perform chemical dynamics simulations at an unprecedented scale. You will contribute to the development of broadly applicable electronic structure methods, new software, and machine learning methods with the specific goal to enable high throughput screening of optimal photocatalyst materials and to reveal important mechanistic insights into ultrafast dynamics and measurable spectroscopic properties. This will be done in close collaboration with a broad network of international collaborators. The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.With appropriate work progress, an extension to a total maximum of 4 years is possible. Your future tasks: You will actively participate in research, teaching & administration. This means: You are involved in a curiosity-driven research project in the field of machine learning in computational materials science. You will present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness as the goal will only be achieved in a team. You will contribute to teaching (exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. Candidate profile: You have completed your Master's degree or Diploma in physics. You have experience in academic writing. You have an interest and background in condensed matter theory and electronic structure theory. You have an excellent command of written and spoken English. You should have experience with programming (e.g. Python, Julia), simulation methods (e.g. molecular dynamics) and modern machine learning methods. What we offer: In the Maurer group, we aim to develop computational simulation methodology to study quantum phenomena at surfaces with applications ranging from photocatalysis to nanotechnology and electrochemistry. Our goal is to combine electronic structure theory, molecular and quantum dynamics methodology, and machine learning methods to achieve an accurate yet computationally feasible description of complex phenomena in materials and at solid/gas and solid/liquid interfaces. You will join a large, international and interdisciplinary research group that provides a collaborative and supportive environment. Our team is member of the Vienna Doctoral School in Physics and the faculty research group Computational Materials Physics. PhD students in the group acquire important transferable skills such as software development and project management. You will present your research at international and national conferences. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Potential for development: Success in life depends on what you make of it, but if you are ambitious and self-driven, there are plenty of opportunities to connect you to all relevant top research groups in the world. Good public transport connection:  Your new workplace is easily accessible by public transport. Internal further training & Coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis, 14x p.a.) increases if we can credit professional experience. Equal opportunities for everyone: We strive to create a fair and equitable work environment, where diversity is an asset and individuals can flourish. It is that easy to apply: Your scientific curriculum vitae. A summary of your previous academic and research achievements. Tell us about your moments of professional pride. A short statement on your research interests for the future (motivation letter). Tell us what you dream about, scientifically. Your Bachelor’s and Master's degree: an excellent academic degree is a good entrance statement for this position. Note, that while a Master’s degree is the usual legal prerequisite for a PhD position at the University of Vienna, we can consider Bachelors (preferentially with Honors) in exceptional cases, too. If you have any content questions, please contact: Reinhard Maurer reinhard.maurer@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 01/30/2026 Prae Doc