Duties: The Department of Finance at the Faculty of Management, Dalhousie University, invites applications for a twelve-month limited-term appointment at the rank of Lecturer or Assistant Professor, starting August 1, 2024 (negotiable)
Requirements: A PhD or Masters degree in a relevant field (e.g. an MBA), or equivalent professional accreditation

Duties: Graz University of Technology is a public research university located in Styria, Austria. It was founded in 1811 and is the oldest science and technology research and educational institute in Austria. It currently comprises seven faculties and is a public university. It offers 19 bachelor's and 35 master's study programmes (of which 18 are in English) across all technology and natural sciences disciplines
Requirements: We crawl all higher jobs in research, teaching and administration at TU Graz automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: We tackle future issues and take responsibility for the entire region of Southern Austria. With 30, 000 students and 4700 employees, we make a decisive contribution to the vibrant life of the Styrian capital. We work for tomorrow - this motto guides the students and scientists at the University of Graz: They look to the future, take on challenges and develop solutions for the world of tomorrow
Requirements: We crawl all higher jobs in research, teaching and administration at KFU Graz automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: Die Spital Davos AG bietet eine umfassende Gesundheitsversorgung für die Bevölkerung, Zweitheimische und Gäste. Unsere Spezialistinnen und Spezialisten aus Chirurgie und Orthopädie, Innere Medizin, Betreuung und Pflege, aber auch Sport und Prävention halten Sie gesund und unterstützen Sie im Alltag. Mit dem Pflegeheim Alberti, der Spitex Davos, dem Rettungsdienst und der Kinderkrippe Mandala verfügen wir zudem über weitere Betriebe direkt im Haus
Requirements: We crawl all higher jobs in research, teaching and administration at Spital Davos AG automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The successful candidate will enhance the ICON-RedSeaClimate project’s zooming capabilities in coupled atmosphere-ocean configurations for extracting regional information. She/he will utilize these capabilities to carry out cutting-edge experiments at high resolution and analyze data to improve our understanding of the role of mixed layer turbulence in shaping the climate of the Arabian Peninsula. The candidate is also expected to represent the project in national and international collaborations
Requirements: PhD degree in oceanography, meteorology, physics, mathematics, or other related fields; In-depth knowledge of numerical ocean modelling and computational climate science; Experience in supercomputer simulations of state-of-the-art circulation models; Proficiency in Fortran, UNIX/Linux, Python, parallel programming, visualization, and evaluation of simulation data; Demonstrated experience in executing research projects and publishing results; Good communication skills, ability to work autonomously and self-responsible

Duties: Carry out novel research works in some of the following domains; Novel communications technologies for Beyond 5G/6G networks and services; Cellular, UAV, IoT, Tactile Internet, MEC, V2X, D2D, M2M, eMBB, mMTC and URLLC; Machine learning/deep learning techniques and Artificial Intelligence for wireless communications; Reinforcement learning, active learning, transfer learning, federated learning and interpretable/explainable AI; Software defined networking, network virtualization and network slicing for wireless networks; Energy-efficient communication technologies; Energy harvesting, SWIPT, backscatter communications and reconfigurable intelligent surfaces; Advanced multi-antenna technologies for B5G/6G wireless networks; Massive MIMO, cell-free massive MIMO, beam space massive MIMO, active antennas, smart antennas, precoding, hybrid analog-digital beamforming and 3D beamforming
Requirements: A PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and Computer Engineering; Should have published at least 3 journal papers in top 10% international journals of the field, and/or should have strong experimentation background and experience of working in industries or university laboratories; Sound publication track-record on one or some of the following areas: wireless communications technologies, signal processing for communications, machine/deep learning, UAVs, MTC/IoT communication techniques/protocols, Terahertz communications, and Quantum communications

Duties: Der Schweizerische Nationalfonds (SNF) fördert herausragende Forschung an den Hochschulen; von der Physik über die Medizin bis zur Soziologie. Tausende von Teams schaffen Wissen für eine bessere Zukunft aller Menschen. Gemeinsam mit Partnern gestalten wir den Forschungsplatz Schweiz
Requirements: Initiativbewerbung am Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung

Duties: HJF is seeking a Finite Element Analysis (FEA)/Heat Transfer Computational Research Scientist II to support the Biotechnology High-Performance Computing Software Applications Institute (BHSAI). The mission of the BHSAI is to perform interdisciplinary research, combining physical, computational, and life-science research, to improve the efficiency and efficacy in the development of militarily relevant medical products for Force Health Protection
Requirements: Doctoral Degree in Engineering, Computational Physics, Mathematics or related field; Minimum of 3-5 years of experience (post doctorate degree) required

Duties: Identify and pursue new research directions for current and emerging technologies in machine learning, machine vision and robotics; Join project teams to research new AI/ML related objectives for SwRI clients; Find new applications, industries, and clients for novel automation capabilities; Capture new research projects with new and existing clients
Requirements: Requires a Masters in Mechanical Engineering, Electrical Engineering, Computer Science, or directly related with related experience; 2-5 years Related experience and must have completed graduate work related to machine learning, computer vision, and/or robotics; Must have training in perception (computer vision/image processing, LIDAR, radar), software solutions for various intelligent systems applications, and convolutional neural networks (CNN); Must have C++, Python, and robot operating system (ROS)

Duties: Bando di selezione n. 1/2024 per il conferimento di n. 1 assegno, tipo A, per lo svolgimento di attività di ricerca
Requirements: Progetto dal titolo "EDP nonlineari evolutive e Fluidodinamica/Nonlinear Evolution PDEs and Fluid-dynamics"

Duties: Develop Solutions for AI systems and embedded aerospace/avionics systems and subsystems; Develop Solutions for neuromorphic AI/ML; Develop AI/ML Solutions for Aircraft systems, EW, SIGINT, and/or sensor fusion; Perform Data Science and analytics; Drive the team to meet budgets and schedules
Requirements: Requires a Masters degree (preferred PhD) in Artificial Intelligence or equivalent; Shift work required; 8+ years: Shown industry AI experience; Preferred experience developing AI and other software while using Python, Tensor Flow, Keras, PyTorch, or other AI development environments

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

Duties: We are seeking a candidate with expertise in computational and systems biology to work as part of a multidisciplinary team developing methods relevant to the study of genetics, gene regulatory networks, and the use of quantitative imaging data as biomarkers. Our goal is to use these methods to better understand the development, progression, and response to therapy
Requirements: A PhD in computational biology, biostatistics, applied mathematics, physics, biology, or related fields and demonstrated skill in methods and software development and the analysis of biological data are required

Duties: The Clemson School of Mathematical & Statistical Sciences (SMSS) seeks to fill SMSS Postdoctoral positions, starting in the Fall 2023 semester. This is a 9-month position (August 15-May 15) with job duties consisting of teaching two courses per semester, conducting research, and light service duties. The appointment is initially for two semesters (August 15, 2023 - May 15, 2024) but is renewable for two additional years contingent upon funding and performance. The targeted research areas are operations research, statistics, probability, and data science. Candidates with strong potential for successful collaboration with current faculty in the Division of Statistics and Operations Research will be given highest consideration
Requirements: PHD in Mathematics or Statistical Sciences

Duties: They conduct collaborative and independent research in biostatistics. Specifically they serve as a member of the Biostatistics Shared Resource (BSR) in the Knight Cancer Institute and engage in collaborative cancer research including, but not limited to translational oncology, quantitative oncology, cancer prevention and control; hey engage in teaching and mentorng activities through the BSR, including office hours and participation in educational and training in cancer biostatistics. They can participate in teaching activities in the Masters Program in Public Health and Masters and Certificate Programs in Biostatistics including instruction of didactic courses, development of new courses and curriculum and academic advising of graduate students in biostatistics at OHSU/PSU School of Public Health (SPH)
Requirements: Applicants should have an earned doctorate in biostatistics or statistics with experience in cancer biostatistics/statisticis, a commitment to excellence in research, and a track record of scholarly research including peer‐reviewed publications and research funding. Individuals with a strong interest in team science are encouraged to apply

Duties: We welcome applications from experienced teachers with specialisms in Data Science, Data visualizations, Natural Language Processing, Big Data, Quantitative analysis and any relevant industry experience is also welcomed
Requirements: PhD or Doctoral qualifications and Masters degree in a relevant discipline area from an internationally recognized institution; University or postgraduate teaching experience in related fields having taught programmes where instruction is 100% English; Advanced knowledge of Data Science and AI; Proficiency in Programming Languages; Knowledge of Data Management Tools

Duties: Lead and assist in designing, conducting, and interpreting pharmacoepidemiological research; includes extracting and cleaning very large sources of electronic health records and other routinely-collected data; Lead and assist with the preparation of abstracts and presentations at national and international scientific meetings and manuscripts for publication, including as lead author; Manage elements of larger grants, ensuring compliance with good practice in relation to the conduct of research, and institutional ethics policies; Undertake high quality research and scholarship, including contributing to drafting major grant proposals and/or leading on drafting smaller grant proposals; Other duties and responsibilities as assigned or directed by the supervisors, including, but not limited to, travel and attendance of and participation in training and data access activities required for this role
Requirements: Doctoral degree; Minimum of 0-5 years experience required

Duties: Pursue independent scientific work in image segmentation, pipeline development or growth chart models; Develop scripts and procedures to curate and process large brain MRI datasets; Collaborate on pipeline development with other labs at Penn and CHOP, nationally, and internationally; Work directly with other researchers to provide support in neuroimaging informatics and ensure the lab's neuroimaging informatics needs are met; Work with PI and postdoctoral fellows to identify short-term and long-term needs in neuroimaging informatics; Develop scripts for neuroimaging analysis (FreeSurfer, AFNI, ANTS, FSL, etc) in the HPC environment at CHOP/Penn; Build computational workflows that scale and work across a broad range of file system storage; Desiminate results in scientific papers
Requirements: Doctorate Neuroimaging, Computer Science, Engineering, or similar field of study. Required; At least one (1) year of experience in scientific image processing, analysis, or multidimensional signal processing Required; At least two (2) years of experience with MR neuroimaging image analysis (fMRI, DWI, structural) or medical image analysis Preferred

Duties: Evaluates, analyzes, and customizes next generation sequence analysis protocols, e.g. HiSeq Analysis Software, Genome Analysis Toolkit (GATK), open source software, for a variety of sequencing applications; Develops new WGS, RNA-seq, Exome seq, genome analysis pipelines and procedures; Performs genome wide trait association analyses using tools such as Plink/seq, generalized linear model (glm); Conducts data‐driven and hypothesis-directed genomics research; Assists with the report of experimental results for publication in technical and peer-reviewed journals. Contributes and edits data, text and figures in program publications; May supervise junior informatics staff; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Requirements: Master's Degree required, Doctoral degree preferred within Computational Biology, Bioinformatics, Biostatistics, Computer Science or related discipline; Minimum of 0-2 years experience required; Research training and proficiency in statistical analysis biomedical research, and quantitative analysis. Programming ability in (R or other statistical language); Scripting language (Perl, Python, or comparable), and (C/C++, Java or comparable language)

Duties: Populate and maintain existing plant genome data warehouses and reference databases; Develop, run, and maintain plant genome data analysis pipelines to provide proteome classification, gene expression, and gene family analysis of newly annotated JGI genomes and newly integrated externally sourced genomes; Refine and optimize data access application programming interfaces (APIs) to support the Phytozome website and internal analysis pipelines; Ensure data is submitted to GenBank and shared with collaborators in a timely manner; Explore new database technologies in order to accommodate a potential 10x increase in plant genomics data footprint; Communicate effectively with Generic Model Organism Database (GMOD) and other open-source bioinformatics communities (e.g., InterMine, Chado) to influence development priorities in line with Plant Program needs
Requirements: A Bachelor’s Degree (or equivalent knowledge/training) in Bioinformatics, Computer Science, Data Science, or related field and a minimum of 8 years of demonstrated success implementing and maintaining large scale genome sequence data analysis systems with large complex technological programs or an equivalent combination of education and experience; Demonstrated experience with standard genome analysis workflows, integrating third party and internal software, and supporting genomic analysis across multiple projects; Experience with Python including good software development practices and database design and optimization; Experience with database schema design, administration, and SQL optimization

Duties: Develop theory and optimization techniques for tackling noise and missing data for improved subtomogram resolution; Develop algorithms for automated marker-less alignment of X-ray and electron tomography data; Develop new data-driven methods that leverage physics-informed machine learning for reconstructing non-rigid deformations and generative modeling of conformational heterogeneity in electron tomography; Apply these new algorithms to enable high-resolution 3D reconstructions of biomolecules from cellular tomographic data; Publish scientific papers in high-impact journals and present findings at seminars and conferences; Maintain documentation of theory, derivations, and results
Requirements: A recent Ph.D. (within the last 1-2 years) in Applied Mathematics, Computational Biophysics/Physics, Computer Science, Data Science or a related discipline; Experience developing numerical methods for solving inverse problems in imaging including but not limited to phase retrieval, iterative reconstruction for tomography, and regularization techniques; Experience with generative models, variational inference, and physics informed machine learning; Strong background in scientific computing including coding experience in C++, Fortran, and Python; Knowledge of physics and mathematics of X-ray and electron microscopy

Duties: The Department of Mathematics and Computer Sciences at Berry College invites applications for a full-time lecturer position in Mathematics to begin in August 2024
Requirements: Applicants must hold a Ph.D. in mathematics or a closely related field. Applicants who are ABD should include documentation that the requirements for the degree will be completed by August 2024

Workload: 80-100%
Duties: As part of our research team, you will take a central role in applied research projects in the field of AI for intelligent maintenance systems; You will develop innovative approaches using state of the art statistical, machine learning and deep learning methods and publish your outcomes in scientific papers; You will develop and implement data-driven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures; You will combine engineering knowledge with data-science techniques (physics-informed machine learning); You will closely collaborate with our industry partners in order to implement your algorithms in the operational environment; You will have a chance to work on projects in diverse application fields with various industry partners; The focus of your work will be on algorithm research and development, with relatively little data management/engineering; You will have the opportunity to co-supervise student research projects...
Requirements: You have a master degree in engineering, physics, computer science, statistics, applied mathematics or a related discipline; Alternatively, you have a bachelor degree in one of the above with practical experience in applied data science projects; You have programming experience in Python. Experience with TensorFlow and Keras/PyTorch is an advantage; You have experience with applying data analytical and machine learning methods; Experience with deep leaning algorithms is advantageous; You have high oral and written communication skills in English and preferably also in German; You are curious to learn and develop new methods and algorithms and apply them in real industrial systems; You are motivated to develop your personal research skills, coached by experienced researchers; We encourage applications from proactive and self-motivated candidates with analytical thinking and strong problem-solving passion and abilities, good communication skills and original thinking

Duties: Ultrasound are widely used at hospitals for medical imaging and allows both 2D (well-known from scanning during pregnancy) and 3D images to be created, which helps medical doctors in diagnosis and treatment of diseases. Transducers for 3D imaging are advanced and complicated devices. Commercial 3D transducers are most often made as so-called matrix transducers, but these are limited in the number of ultrasound emitters that can be practically fabricated, which limits the attainable image quality
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent)

Duration: 6 y
Duties: Forschung im Bereich der Angewandten Mathematik mit Schwerpunkt Analysis, Numerik und algorithmischer Lösung von Aufgabenstellungen in der mathematischen Bildverarbeitung, den Inversen Problemen und den Datenwissenschaften; Mitarbeit in interdisziplinären Kooperationsprojekten und FWF/EU-geförderten Drittmittelprojekten; Selbstständige Durchführung von Lehrveranstaltungen im Bereich der Angewandten Mathematik, Betreuung von Studierenden und Abhaltung von Prüfungen; Mitwirkung bei Organisations- und Verwaltungsaufgaben
Requirements: Abgeschlossenes Doktoratsstudium einer mathematischen Studienrichtung; Fundierte Kenntnisse in einem der folgenden Bereiche: Mathematische Methoden, Analysis und Numerik in der Bildverarbeitung, den Inversen Problemen oder den Datenwissenschaften; Fähigkeit zur Integration in das Forschungsprofil am Institut und insbesondere in interdisziplinäre Kooperationsprojekte; Team-, Organisations- und Kommunikationsfähigkeit; Sehr gute Englischkenntnisse; Fähigkeit zur Lehre in deutscher Sprache (nach einer Übergangsfrist von 2 Jahren)