Duties: Wir suchen auf Beginn Schuljahr 2024/25 eine Lehrperson für Mathematik/Physik (140 % Mathematik, 60 % Physik). Die beiden Fächer können kombiniert oder in Teilpensen aufgeteilt werden
Requirements: Abgeschlossenes Lehramt in Mathematik und oder Physik für Maturitätsschulen bzw. Abschluss in absehbarer Zeit vorhanden

Duties: We are seeking for a researcher to join the existing HERC group. You will be working on quantifying and explaining disparities in infection incidence and outcomes, as well as modelling the potential health-economic impact of interventions aimed at reducing these disparities. The researcher will mainly work on the BALANCE and HPRU project. BALANCE is a project estimating the health economic burden of AMR in pediatric and adult populations in both low-, middle-, and high-income countries. This large prospective study collects socio-economic, demographic, epidemiological, clinical, and microbiological data from hospitalized patients from various low-, middle-, and high-income countries
Requirements: To be considered you will hold a relevant Master’s degree in health-economics or a related quantitative subject. You will also have substantial relevant work or research experience. Strong data analysis skills, especially in statistics/econometrics are essential for this post. Experience with mediation and decomposition analyses as well as a relevant PhD (or close to completion) would be desirable

Duties: We are recruiting an epidemiologist/medical statistician to join a Wellcome-Trust-funded research programme on infections and brain health. The successful candidate will conduct innovative research into relationships between infections and brain health, applying robust causal inference methods to a range of health datasets. The post offers an excellent opportunity to design and conduct studies involving analysis of large-scale data from UK and international electronic health records, and specialist cohorts. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research Group and will work closely with external collaborators
Requirements: The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience in aetiological epidemiological research using linked electronic health records on topics including infections and brain health. The post requires strong data management and quantitative skills with expertise in a common statistical package such as Stata/R. A commitment to multi-disciplinary and collaborative working is also essential. Experience using the Clinical Practice Research Datalink (CPRD) for epidemiological research is desirable. Further particulars are included in the job description

Duties: Ever at the forefront of system safety research, York is now pioneering safety of artificial intelligence (AI) and machine learning (ML) including their roles in supporting autonomous systems and robotics. We are inviting applications for four posts whose remit is both to conduct research and stimulate the uptake of research in industry
Requirements: PhD, or in final stages thereof, in safety, robotics, autonomous systems, artificial intelligence or a related discipline, eg human factors, machine learning or applied ethics or equivalent experience; Highly developed communication skills to engage effectively with a wide-ranging audience both within and outside academia, both orally and in writing, using a range of media; Evidence of engagement, or willingness to engage, outside academia, e.g. with industry, regulators, general public or policy makers

Duties: The Savilian Professorship of Geometry is a premier appointment, one of a number of Statutory Professorships currently held at the Mathematical Institute. The Professor will be expected to provide research leadership in their own research area and more widely within the Mathematical Institute and at national and international level, and will also engage in teaching at both undergraduate and postgraduate level within the Mathematical Institute, and play a major role in the supervision, guidance and examination of graduate students
Requirements: We are seeking a mathematician of the highest international calibre in Geometry or some other branch of Pure Mathematics. You should have a proven record of original research of the highest quality and of securing research funding, with an excellent publication record and a demonstrable ability to provide research leadership and direction. You should be able to provide effective and innovative teaching at both undergraduate and postgraduate level, to direct postdoctoral researchers and to communicate effectively with a wide range of colleagues within the Department, College and wider University

Duties: We are looking for an outstanding candidate to join our team and contribute to the excellent research and teaching activities in the School of Mechanical Engineering. You will play a key role in the delivery of our undergraduate and postgraduate programmes in Mechanical Engineering and build research activity complementary to School and University research strengths
Requirements: You will be able to demonstrate a strong track record of high-quality publications in relevant research areas and have a clear vision of your research direction and how you will develop your research activities through external funding

Duties: You will play a pivotal role in the research and analysis of Undergraduate Admissions at Oxford. This includes detailed analysis of admissions processes, working in close collaboration with academic staff and admissions coordinators, to review the effectiveness and fairness of admissions processes, and identify evidence-based improvements. Other work includes development of effective models for contextualising applicant performance during admissions and supporting the quality assurance and review of our admissions tests. If you enjoy data analysis and visualisation, simulations of hypothetical selection scenarios, predictive modelling, machine learning, and working in a collaborative environment then this role is for you!
Requirements: Strong education background including a first degree in a subject containing a significant element of mathematics or statistics, or equivalent professional experience; a higher qualification relating to data analysis would be advantageous

Duties: in the A1 project "Carbon Dynamics in the Arctic" of the DFG Excellence Cluster CLICCS. The main responsibility of the postdoc is the integrated analysis of land biogeochemistry in the Arctic using local-scale observations, evaluating and projecting carbon dynamics in the Arctic by using ICON-Land/QUINCY land surface model as a part of the Earth System Model, ICON. The postdoc will be based at MPI-M and closely collaborate with UHH researchers doing observations and modelling of carbon dynamics on the local scale, as well as with researchers at MPI-BGC in Jena
Requirements: PhD in Geosciences, Meteorology, Environmental Sciences, or Physics obtained by the starting date; Experience in supercomputer simulations of state-of-the-art Earth System Models and especially their land surface components; Expertise in analysis of global remote sensing data and their application for the ESM evaluation; Expertise in Fortran, UNIX/Linux, Python, shell scripting, processing and visualization of simulation data; Good communication skills, ability to work autonomously and self-responsible; Excellent writing skills in English

Duties: This is a fully funded position with a duration of 2 years with a possibility to extend up to 5 years upon the performance and funding availability. The successful candidate is expected to work on designing optimal network slicing strategies and develop SDN/NFV solutions for the non-terrestrial network automation. The design strategies will optimize the service function chain, flow management and virtual network embedding for 6G NTN. The ideal candidate should have knowledge and experience in some of the following topics:
Requirements: Strong background in Computer Networking technologies (ideally in SDN/NFV); Network and/or resource slicing, virtual network embedding; Optimization and Machine learning/deep learning techniques; Experience in open-source platforms and controllers (e.g., ONOS, Ryu, MiniNet, OpenSAND); Graph signal processing for wireless networks; Development skills in MATLAB, python or C++ are required

Duties: Creating a large dataset of Android source code samples involving Google guideline vulnerabilities before and after the patch; Generating a model for automatically detecting and fixing security issues in Android apps’ source code; inf/01 - informatica
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Department: Mathematics; Statistics
Duration: 1 y
Duties: The purpose of this research grant, financed under the agreement between Azienda ULSS 6, ARPAV and the Departments of Statistical Sciences and of Cardio-Thoracic-Vascular Sciences and Public Health is to carry out research activity into: analysis of mortality and morbidity data from the health administrative flows of the ULSS6 Euganea; Calculation of indicators aimed at estimating excess mortality in the areas adjacent to the waste-to-energy plant in Padua; Use of appropriate methods and statistical models to study the effect of waste-to-energy emissions; med/01 - statistica medica
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: Forschung, Lehre, Verwaltung; Institut für Medizinische Statistik und Informatik
Requirements: abgeschlossenes einschlägiges PhD- bzw. Doktoratsstudium; Qualifikation in Lehre und Forschung (mindestens eine ErstautorInnenschaft); mehrjährige Berufserfahrung in den Bereichen medizinische Statistik, Epidemiologie und klinische Studien

Duties: York is a top international teaching and research university and a driving force for positive change. Located in Toronto, Canada, York is empowered by a welcoming and diverse community with a uniquely global perspective, we are preparing our students for their long-term career and personal success. Together we are making things right for our communities, our planet, and our future
Requirements: York University posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Eigenverantwortliche Mitarbeit an der Weiterentwicklung eines firmeninternen Template-Frameworks zur Unterstützung unserer Projektarbeit: Umsetzung funktionaler oder designseitiger Anforderungen, typischerweise mittels VBA; Arbeit mit graphischen Strukturen und Templates, insbesondere im PowerPoint-Umfeld; Durchführung und Automatisierung von Tests; Unterstützung bei der Bearbeitung technischer Support-Anfragen unserer Berater und Beraterinnen (z.B. per E-Mail oder telefonisch); Management von Releases in Abstimmung mit der internen IT-Abteilung
Requirements: Laufendes Studium, idealerweise mit IT-Bezug, z.B. im Bereich Informatik, Mathematik oder Physik; Gute Kenntnisse einer gängigen Programmiersprache (z.B. Python oder VBA) sowie der MS-Office Produkte PowerPoint, Excel und Windows; Erfahrung in Coding Best Practices; Hervorragendes geometrisches Verständnis; Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift; Sehr gute Kommunikationsfähigkeiten, eine eigenständige Arbeitsweise und die Fähigkeit zur schnellen Einarbeitung in neue Themen; Freude an Teamarbeit sowie Zuverlässigkeit, Sorgfalt und Vertrauenswürdigkeit; Wünschenswert für die Tätigkeit wären zudem Kenntnisse in folgenden Bereichen: Skripterstellung mit PowerShell; Versionskontrolle (git)

Duties: The Indiana University School of Informatics and Computing (SoIC) at IUPUI invites applications for a tenured faculty position to also serve as chair in the Department of BioHealth Informatics (BHI). The appointment will begin August 1, 2023 on the IUPUI campus. Exceptional faculty candidates are being sought to join our fast-growing department. We welcome applications from established researchers with collaborative research teams
Requirements: Qualifications; Ph.D. or clinical doctorate (M.D., D.N.P., D.D.S. or Pharm.D.) in biomedical informatics, medical informatics, computer science or related field and relevant research training and experience; Demonstrated ability to develop a record of outstanding research productivity, to obtain external funding, to exhibit effective teaching, and to creatively adapt and diversify pedagogy for online or blended learning

Department: IAIS - Intelligente Analyse- und Informationssysteme
Duties: Konzeption, Planung und Umsetzung von Algorithmen zur Sprach-, Audio- und Mustererkennung; Anpassung der Algorithmen für das Anwendungsgebiet der Analyse von multimedialen Daten im Umfeld von Medienarchiven sowie für Sprachassistenzsysteme; Anpassung und Integration der erforschten Algorithmen in unseren Technologiekern; Integration und Evaluierung der Algorithmen in Anwendungsumgebungen; Veröffentlichung und Präsentation von Forschungsergebnissen; Unterstützung der Vertriebsmitarbeiter*innen durch Ihr technisches Fachwissen und Ihre Methodenkenntnis; Begleitung unserer Kund*innen bei der Umsetzung der Forschung in der Anwendung
Requirements: Ein sehr gut abgeschlossenes wissenschaftliches Hochschulstudium (Master, gerne auch mit Promotion) in Informatik, Nachrichtentechnik, Wirtschaftsinformatik oder einer vergleichbaren Fachrichtung; Fundierte Kenntnisse im Bereich der Sprach- und Audiosignalverarbeitung sowie Mustererkennung, im maschinellen Lernen und Deep Learning; Erste Erfahrung in der Konzeption, Entwicklung und Testung neuer Algorithmen oder der Optimierung existierender Algorithmen; Ausgezeichnete Programmierkenntnisse in C++, Python und Skriptsprachen, Linux-Kenntnisse; Ein hohes Mass an Eigeninitiative und Eigenverantwortlichkeit sowie die Bereitschaft, sich in praxisnahen Forschungsprojekten und Industriekooperationen zu engagieren; Fliessendes Englisch in Wort und Schrift (mind. Niveau C1); sehr gute Deutschkenntnisse sind ein Plus

Duties: The Department of Mathematics and Statistics invites applicants for the positions of Lecturer and Special Lecturer to instruct courses
Requirements: A PhD in mathematics or statistics is required

Duties: Support analysis for global studies; Review analysis plans for appropriate methods; Operate in collaboration with Project Statistician and other Statistical Analysts and Programmers to ensure study outputs are produced to a high quality and in a timely fashion; Assist in generation of specification documents for derived datasets (e, g, ADaM) and tables, listings and figures; and; Use efficient programming techniques to produce and/or QC derived datasets (e.g. ADaM) and tables, listings and figures according to specifications
Requirements: Master’s Degree in Statistics, Biostatistics, or equivalent areas; Good communication skills; Willingness to apply innovative programming techniques to solve critical problems; Can adapt and respond to requests from across the business while being aware of impact of response; and; SAS programming experience and/or SAS Base Programming Certificate

Duties: Mitwirkung bei der Weiterentwicklung der Berichterstattung nach Solvency II, Säule 3, mit quantitativem Schwerpunkt an die nationale Aufsicht sowie an unseren Mutterkonzern MAPFRE; Unterstützung bei den Berechnungen der aufsichtsrechtlichen Kapitalmodelle (Standardmodell, unternehmensspezifische Parameter, Szenarioanalysen); Beteiligung im regelmässigen Risikomanagementprozess sowie in dem ORSA-Prozess (unternehmenseigene Risiko- und Solvabilitätsbeurteilung); Finanzmathematische und aktuarielle Analysen im Rahmen des Risikomanagements; Beobachtung und Analyse der Entwicklungen regulatorischer Anforderungen auf nationaler und europäischer Ebene
Requirements: Abgeschlossenes Studium mit quantitativem Schwerpunkt (z.B. Wirtschaftsmathematik, Mathematik, Versicherungs-/Finanzmathematik, Betriebswirtschaftslehre oder Volkswirtschaftslehre); Mehrjährige Erfahrung im Risikomanagement mit quantitativem Schwerpunkt bei einem Versicherungsunternehmen oder einer Beratungsgesellschaft; Analytisches und systematisches Denken sowie eine ausgeprägte Kommunikationsstärke und ein hohes Mass an Eigeninitiative und Selbstständigkeit; Sehr gute MS Office Kenntnisse (Excel idealerweise VBA-Kenntnisse, PowerPoint, Word); Sehr gute Deutschkenntnisse in Wort und Schrift

Duties: Contribute to clinical development plan preparation; Review of study protocol and preparation of statistical methodologies; Manage the generation of analysis databases, and analyses for medium to high complexity clinical trial projects including ISS, ISE, and electronic submissions; Assist in the development of new processes for efficient analysis production; Provide leadership and guidance for solutions in data management, analysis and reporting related issues; Familiarity with moderately complex statistical methods that apply to Phase I-IV clinical trials
Requirements: Ph.D. degree in Biostatistics/Statistics with 5+ years of pharmaceutical clinical trial experience; Knowledge of SAS and other statistical software; Strong knowledge of statistical methodology in clinical trial; and; Excellent analytical, written, and oral communication skills

Duties: Successful candidates will join a new, vibrant, and interdisciplinary Research Group, focusing on software engineering aspects of smart software systems, i.e. software that embeds AI components. As such, the group conducts research on the application and the impact of AI in software engineering (and vice versa) and on the best open source building blocks required to build such smart systems
Requirements: The candidate should possess a MSc degree or equivalent in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field

Duties: We offer an attractive Research Associate position in Computer Vision-based anomaly detection for space applications.The successful candidate will join the Computer Vision, machine Intelligence and Imaging research group
Requirements: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.); Strong development skills in Python; Strong mathematical background

Duties: Utilizing knowledge and expertise in statistical methods and data analysis; Consult with researchers regarding study design, data analysis and presentation of results; Research, determine and implement the best approaches for the researchers current needs; Aid in interpretation of results and explain statistical methods as appropriate
Requirements: Master’s Degree in Statistics or Biostatistics required and a minimum of 3+ years of experience of related job experience

Duties: Projects in the lab aim to discover new aspects of lung physiology in health and disease using computational and systems biology approaches to analysis of single-cell RNA-sequencing data. These datasets derive from samples of human lungs, and also from mouse models of airway injury, inflammation and regeneration, and aim in particular to examine the impact of environmental exposures; such as air pollution, and allergens; on the lungs’ airways. The successful candidate will collaborate closely with clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms to examine cellular communication between the lungs and the local immune system, define pathways that are aberrant in disease, and discover new possible therapies. Fellows will be encouraged to take advantage of the rich and varied training and career development opportunities offered a...
Requirements: PhD or equivalent in computational biology, computer science, epidemiology, statistics, mathematics, or other quantitative field; Candidates holding a degree in biological/medical science are also welcome to apply if they have strong background in computational or statistical work

Duties: A Postdoctoral Research Fellow or Research Associate position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data
Requirements: Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills; for the Research Associate position two years of postdoctoral experience is preferred