Duties: With this translational context in mind, Dr. Baxevanis’ group is currently leading international efforts to sequence two cnidarian species: Hydractinia and Podocoryna. The regenerative abilities of these colonial hydrozoans make them excellent models for the study of key questions related to pluripotency, allorecognition, and stem cell biology, work that will be significantly advanced by the availability of high-quality whole-genome sequencing data from these organisms. The successful applicant will have the opportunity to develop and apply bioinformatic approaches to these and other large-scale genomic data sets, focusing on the evolution of specific protein families and biological pathways that have putative roles in disease causation
Requirements: Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required

Duties: We are building on this experience by forming a strong and diverse research group focused on developing and implementing cutting-edge methods and technologies for discovery and replication, molecular diagnosis, functional dissection of pathways, and targeted therapeutics for neurodevelopmental and related disorders. This work has the potential to dramatically improve the lives of individuals affected with these currently untreatable disorders through early intervention and biologically based personal therapies. Areas of interest include: genomics, single-cell genomics, modeling of neurodevelopmental disorders in stem cell (iPSC) and animal systems, massively parallel functional assays, and bioinformatics
Requirements: PhD, MD or MD/PhD in neuroscience, cell/molecular biology, genetics or related field; Strong interest in developmental neuroscience; Demonstrated ability to work independently and learn new techniques quickly; Candidates must be well organized, self-motivated and dependable; Excellent communication skills with the ability to plan, document, analyze and report data

Duties: Perform biostatistical analysis working with institute scientists, including generating quality control and data output reports, visualizations, and publication-quality graphics where appropriate; Critically evaluate experimental design and generate statistical analysis plans; Work independently and collaboratively with all levels of institute researchers, in a dynamic research environment to design and implement new immunological experiments; Participate in writing quarterly reports, progress reports, proposals, and journal articles; Keep informed of cutting-edge ideas, research, and technology, and apply them as appropriate
Requirements: Requires a degree in biostatistics, healthcare statistics, or other life science with a strong understanding of the principals of biostatistics, and 3 to 5 or years related experience or equivalent combination of education and experience post bachelor’s degree

Duties: Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary; Data Analysis: Performs routine analysis for which established tools exist and are considered reliable; Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary; Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically
Requirements: Bachelor's degree required in a STEM field. Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences; 2 years with Bachelor’s degree or 1 year with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience

Duties: KIT; The Research University in the Helmholtz Association; combines university tradition with program-oriented research. In 2009, the Technical University of Karlsruhe and Karlsruhe Research Center merged to KIT. The framework conditions presently offered to KIT researchers are accordingly unique in the German science system. Nowhere else can researchers use the infrastructure of a large-scale research center and collaborate at a university of excellence across the disciplines of natural sciences, engineering, economics, the humanities and social sciences. Research at KIT is aimed at creating new findings, applications, and solutions to master the global challenges facing humankind with pathbreaking contributions; in particular in the areas of energy, mobility, and information. The only German university of excellence with a national large-scale research sector offers unique education and training options for students and early-stage researchers
Requirements: KIT 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: Besprochen werden: Banking, Insurance und Finance; Statistik (non-finance), Biologie, Medizin (akademisch und nicht-akademisch); Informatik und Technik; General Management; Lehre (nicht akademisch); Akademische Stellen; Weitere wichtige Informationen zu Historische Entwicklung, Mittelschule und Studium, Praktika
Requirements: Praktika während des Studiums dienen nicht nur zur Aufbesserung von Einkommen und CV (inkl. sehr wichtige Referenzen), sondern ermöglichen auch herauszufinden, welche Jobs einem später am besten gefallen werden. Nach erfolgreich absolvierten Praktika sollte man auf jeden Fall von den Vorgesetzten ein Arbeitszeugnis einholen. Wenn diese mit der Arbeit sehr zufrieden sind, werden sie dabei von sich aus mitteilen, dass man sie als Referenz erwähnen darf. Wichtig ist, dass man Praktika macht, welche etwas mit Mathematik zu tun haben

Duties: In diesem kurzen Aufsatz soll Mathematiker/innen und Statistiker/innen (allgemein Quants, also Personen mit quantitativer Ausbildung) aufgezeigt werden, wie einfach sie eine eigene Firma gründen können. Es wird aufgezeigt, dass im Gegensatz zu anderen Studiengebieten Quants sehr gute Chancen haben, direkt ab Hochschule erfolgreich eine Firma zu gründen. Die Aussagen gelten erst Recht für Personen mit Berufserfahrung. Mit dem Portfolio-Ansatz wird auch der zweiten Gruppe oben ein stufenweiser Einstieg in die unternehmerische Selbständigkeit aufgezeigt. Mit wichtigen Hinweisen für alle Fachgebiete!
Requirements: Ich unterscheide drei verschiedene Situationen, in denen diese Quants sein können: Student/in, Absolvent/in, Personen, welche z.B. wegen Unterstützungspflichten (vorerst) lediglich in Teilzeit Erwerbsarbeit leisten können, Personen, bei denen der Beruf und die Karriere (momentan) zentraler Lebensinhalt ist

Duties: Lesen Sie zuerst ein Buch von 1000 Seiten, um herauszufinden, wie man sich bewirbt? Nein! In diesem kurzen Text ist alles Wesentliche zusammengefasst: Stelle finden, Stelle erhalten, Stelle behalten, Überbrückung, wenn es schwieriger wird. ... Im weiteren sollte man folgende Fragen stellen, falls im Verlauf des Gesprächs nicht beantwortet: Wie wird man eingearbeitet? Wie sieht ein "normaler" Arbeitstag aus (falls in wissenschaftlichem Bereich tätig: wie viel ist Routine, wieviel herausfordernde geistige Tätigkeit)? Welche Mittel werden Ihnen für die Erreichung der Ziele zur Verfügung gestellt? Wie viele Mitarbeiter sind zu führen? Was geschah mit dem vorherigen Stelleninhaber? Wie sind die Arbeitszeiten geregelt (Jahresarbeitszeit, Wochenarbeitszeit)? Wieviel Reisetätigkeit ist mit der Arbeit verbunden? Auslandaufenthalte? Wieviel Unterstützung kann man bei der Weiterbildung erwarten (freie Zeit dazu)?
Requirements: Überbrückung, wenn es schwieriger wird: Allfällige Publikationen noch fertig machen, welche aufgeschoben? Habilitation? Lehrerausbildung? Lehrbuch schreiben; Sprachen lernen; IT-Kenntnisse lernen/Statistikpaket lernen (eventuell kann man das noch eingeschrieben kostengünstig an der Uni); Aktuarsausbildung beschleunigt beenden (Vorlesungen an Hochschulen dazu); Lehrtätigkeit an Berufs-/Kantonsschulen, FH, Unis, auch für Übungen/Tutorate; Maturaexperte; Gutachtertätigkeit; EU und SNF-Projekte, andere? Personaldienstleistern anbieten als Experte bei Beurteilung von Fachkenntnissen; wegen Kontakten: Beitritt zu standespolitischen Organisationen? Dipl/Dr-Arbeiten betreuen helfen; Kostenlose Praktika oder bei Kollegen anfragen, welche kleine Firma haben (eigenes Profitcenter); eventuell auch aus dem Ausland wo Lebenshaltungskosten tief sind (inkl Sprachen lernen)

Duties: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 150 CHF, Euro or US$ for your advert to appear on www.acad.jobs/Tutoring for one year. For an additional cost of 200 CHF, Euro or US$, your listing will appear in the "Featured Tutors" section on the main page of www.acad.jobs/Tutoring. Banner: Annual cost is 500 US$ per 20 % call probability at www.acad.jobs/Tutoring
Requirements: Degree or student or other experience in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics

Workload: 70-100%
Duties: Mitarbeit, Leitung und Akquise von angewandten Forschungs- und Entwicklungsprojekten im Bereich sicherheitskritischer KI-basierter Systeme mit Partnern aus weiteren Instituten der SoE, der Industrie und regulatorischen Stellen; Fachliche Betreuung und Anleitung von Wissenschaftlichen Assistierenden in Forschungsprojekten und Studierenden in Projekt-, Bachelor- und Masterarbeiten; Aufbau und Erstellung sowie Mitwirkung bei der Durchführung von Weiterbildungsangeboten; Unterstützung bei der Durchführung von Lehrveranstaltungen in Bachelor- und Masterstudium; Publikation der Ergebnisse in Fachzeitschriften und Präsentation an Konferenzen
Requirements: Für diese Position suchen wir eine Persönlichkeit mit einem Hochschulabschluss in Mathematik, Physik, Informatik oder einer anderen Ingenieurwissenschaft. Sie bringen fundierte Erfahrungen in der Anwendung von Python-Frameworks für Machine Learning (ML) Projekte mit, sind mit den aktuellen Methoden und Trends im Bereich des maschinellen Lernens vertraut und zeigen ein kontinuierliches Interesse an der Weiterentwicklung Ihres Wissens. Sie verfügen über umfassende Kenntnisse in der Entwicklung und Verifikation von KI-Systemen, insbesondere in den Bereichen Fault Prediction und Robustness. Darüber hinaus haben Sie Erfahrungen im Bereich Visual Computing und sind interessiert, diese in sicherheitskritischen ML-Projekten einzusetzen. Zusätzlich besitzen Sie die Fähigkeit, komplexe Problemstellungen zu erkennen und zu analysieren, innovative Lösungsansätze in enger Zusammenarbeit mit internen Partnern aus unseren Schwesterinstituten (insbesondere dem Center for Artificial Intellige...

Workload: 70-100%
Duties: The position covers a diverse range of tasks: Collaboration, management and acquisition of applied research and development projects in the field of AI-enabled safety-critical systems with partners from other institutes, industry and regulatory bodies; Technical supervision and guidance of research assistants in research projects and students in project, Bachelor's and Master's theses; Development, creation and participation in the implementation of continuing education programs; Support in the implementation of courses in Bachelor's and Master's degree programs; Publication of results in scientific journals and presentation at conferences
Requirements: For this position, we are looking for a candidate with a degree in mathematics, physics, computer science or another engineering discipline. You have solid experience in the application of Python frameworks for machine learning (ML) projects, are familiar with current methods and trends in the field of machine learning and show a continuous interest in further advancing your knowledge. You have extensive knowledge in the development and verification of AI systems, especially in the areas of fault prediction and robustness. Furthermore, you have experience in visual computing and are interested in applying these skills in safety-critical ML projects. In addition, you have the ability to analyze complex problems, develop innovative solutions in close cooperation with internal partners from our sister institutes (in particular the Center for Artificial Intelligence, the Institute of Computer Science and the Institute of Embedded Systems) and implement them with our external project partne...

Duties: Analyze and model structures in large scale data; Collaborate with researchers from both computational and social sciences in an interdisciplinary environment; Co-author scientific papers aimed at high-impact journals; Participate in international conferences
Requirements: You must hold a PhD degree (or equivalent); You must have a background within Computer Science, Applied Mathematics, Physics or related fields; A track record of publishing interesting work within some of those field; Experience with machine learning, incl deep learning; Experience with modeling complex networks or graph neural networks is an advantage; Experiences using transformers is an advantage

Duties: Your responsibilities will include making a significant contribution to deep learning methodology for cardiovascular imaging, by developing novel deep learning algorithms, especially deep generative models, to unveil and assess pathological signals in CMR imaging. You will also develop and implement the latest deep learning models for CMR imaging and data analysis, using programming languages such as Python, TensorFlow, Keras and PyTorch
Requirements: You are required to hold or be close to complete a higher degree (DPhil/PhD) in a relevant area of research and have strong deep learning and machine learning programming skills. Experience in CMR image processing, good understanding of CMR scanning protocols would be desirable

Duties: Wrangle, clean, structure and store investigator data. Assist in building, populating and/or maintaining a searchable, browsable system storing raw omic and imaging data, sample metadata, data generation and data processing provenance, and custom analysis results; Assist platform development teams implementing scalable high-performance workflows to support the research community with analytical advances and to disseminate best practices to the computational community. Assist with documentation and user support that enable computational researchers across campus to access and re-use analysis pipelines; Assist with software development, using structured software engineering best practices. Collaborate with team members in building, publishing and re-using high-performance open-source code
Requirements: Master's Degree in Computational Biology or related field OR; Bachelor's Degree in Computational Biology or related field AND; 3 years of relevant experience; Demonstrated ability in research related to genomic analysis, machine learning, or image analysis, which may include experience with next-gen sequencing or medical imaging

Duties: Provide effective technical leadership and guidance, continually reviewing and evaluating current knowledge and emerging issues in biostatistics, and in the epidemiology and genetics of common, complex diseases; Prepare solicitations of grant applications and contract proposals, establish clear objectives and evaluation criteria, conduct complex technical negotiations and make recommendations regarding funding decisions; Analyze, interpret, and evaluate data from a medical and scientific viewpoint in an accurate and timely manner, identifying public health implications and making appropriate recommendations
Requirements: The successful candidate must have completed a full 4-year course of study in an accredited college or university leading to a bachelor's degree or graduate/higher level degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position

Duties: The University Hospital of Basel defines seven interdisciplinary focal points in clinical practice, research and development, from which renowned experts expect significant advances for the future of medicine. In this way, the University Hospital Basel is raising its profile both nationally and internationally and providing direct benefits for its patients
Requirements: We crawl all higher jobs in research, teaching and administration at USB automatically and post them at acad.jobs. 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: Die Pädagogische Hochschule Zürich (PH Zürich) ist die Aus- und Weiterbildungsstätte für Lehrpersonen im Kanton Zürich. Sie wurde im Herbst 2002 durch die Zusammenlegung der elf Vorgängerinstitutionen der Lehrerinnen- und Lehrerbildung gegründet. Die PH Zürich erbringt Leistungen in folgenden Bereichen: Ausbildung, Weiterbildung, Dienstleistungen, Forschung & Entwicklung
Requirements: We crawl all higher jobs in research, teaching and administration at PHZH automatically and post them at acad.jobs. 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: Das Kantonsspital St.Gallen ist das Zentrumsspital der Ostschweiz. Die Ambis in Rorschach und Flawil sind auf allen Ebenen; medizinisch, logistisch und personell; voll integrierte Bestandteile des Unternehmens. Als eines der grössten Spitäler der Schweiz übernimmt das Kantonsspital St.Gallen neben Grundversorgungsaufgaben für die Bevölkerung der Stadt St.Gallen und die angrenzenden Regionen auch Zentrumsfunktionen für die Einwohnerinnen und Einwohner des ganzen Kantons St.Gallen sowie einige benachbarte Kantone
Requirements: We crawl all higher jobs in research, teaching and administration at KSSG 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"

Duration: 3+1 y
Duties: Im Rahmen eines Forschungsprojektes mit dem Deutsch; Französischem Forschungsinstitut Saint; Louis (ISL) ist voraussichtlich ab 1.10.2024 eine Promotionsstelle für die Dauer von 3 Jahren zu besetzen, eine Verlängerung auf 4 Jahre ist möglich. Im Rahmen dieses Projektes sollen neue numerische Raum; Zeit Diskretisierungsverfahren (FEM/BEM) zur Lösung inverser Probleme der Wellengleichung entwickelt und implementiert werden, ein Vergleich mit experimentellen Daten ist vorgesehen
Requirements: Hervorragender Abschluss eines Universitätsstudiums in Mathematik, Physik, oder Ingenieurwissenschaften. Gewünschte Qualifikationen: Kenntnisse in der Numerik partieller Differentialgleichungen, Programmierkenntnisse

Duties: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Requirements: PhD in Bioinformatics, Statistics/Biostatistics, Applied Mathematics, Data Science, Computer Science, or related fields. Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science. A highly motivated and independent researcher with a strong quantitative scientific background. Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems

Department: Information Science
Duration: 1 y
Duties: This research program intends to contribute to recognizing local varieties of fruit trees through the analysis of digital images. In this research program, artificial intelligence and machine learning methods will be developed and implemented based on datasets of leaves and fruits images, which, through elements such as shape and color, provide information on cultivar name, the state of health and phenological development of the plants in question. The developed algorithms will address problems of classification, segmentation, compression and comparison
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: The postholder will develop numerical models using finite-difference methods with increasing complexity and benchmark against analytical solutions, adapt the existing theoretical and computational frameworks, including rheological and thermochemical models, relevant for modelling magmatic-tectonic cycles at mid-ocean ridge. You will also write manuscripts, present at national and international conferences and workshops and collaborate with colleagues in research groups and partner institutions
Requirements: You will hold, (at the time of starting the post), a PhD/DPhil in a relevant field (e.g. geodynamics, theoretical and/or applied physics, engineering or applied mathematics) together with experience relevant to the objectives of the projects. You will also have experience with computational modelling of continuum mechanical phenomena based on the solution of partial differential equations. You must have the ability to manage your own academic research and associated activities and excellent communication skills including the ability to write for publication, present research proposals and results, and represent the research group at external meetings

Duties: Develop theoretical and computational models for interfacial flow and wetting on cell membranes; Implement and solve numerically the theoretical membrane model; Collaborate with experimentalists; Develop independence and be self-driven to advance with their research project; Work in an interdisciplinary team with expertise in mechanics, biology, physics and biophysics; Follow our PhD program that include an educational component
Requirements: Master’s degree or equivalent in mechanics, fluid mechanics, biophysics, physics or applied mathematics; Excellent oral and written communication skills in English

Department: Mathematics; Applied Mathematics
Duration: 1 y
Duties: Numerical methods for environmental monitoring models based on differential and integral equations
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: The objective of this project is to develop automated means to continuously monitor the performance of AI models (including NLP models) developed by BGL BNP Paribas and to determine when and how to retrain these models in order to improve their performance. Achieving these objectives requires addressing crucial research challenges such as the definition of proper quality metrics across the bank’s use cases, the identification and explaination of the limitations and blanks spots of the models, and the design of sustainable improvement mechanisms. Overall, the project supports BGL BNP Paribas in scaling-up their AI and data science activities through ground-breaking research, thereby enabling the widespread dissemination of AI products and services throughout the bank. The project is held in close collaboration with BGL-BNP Paribas and, as the successful candidate, you will be expected to program prototype tools showcasing the practical benefits of your research outcomes
Requirements: The candidate should possess an PhD degree (or equivalent) in computer science with strong skills in software engineering, programming, and artificial intelligence, as well as good knowledge of computer science in general. The ideal candidate should have some knowledge and/or experience in most of the following topics: Programming (Python is a must, Java is an asset) Data science, data engineering, data collection and storage Artificial intelligence, machine learning Natural Language Processing is a plus (but not mandatory)