Duties: This PhD will focus on applying model-based RL technics to increase the autonomy of space robots for near-field operations
Requirements: The candidate should possess an MSc degree or equivalent in Computer Science, Data Science, or Robotics engineering

Duties: ENSI is responsible for the supervision of Swiss nuclear facilities, i.e. the nuclear power stations, the interim storage facility for radioactive waste, the nuclear research facilities at the Paul Scherrer Institute (PSI) in Villigen and the Ecole Polytechnique Fédérale in Lausanne. Its regulatory remit covers the entire life of a facility, i.e. from initial planning, through operation to final decommissioning including the disposal of radioactive waste
Requirements: We crawl all higher jobs in research, teaching and administration at ENSI 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: Communicate effectively with internal team, external clients, and industry partners; Design, build, debug and implement robotic and automation solutions utilizing mechanical, electrical, and software skills; Coordinate individual performance goals and objectives set by the organization; Assist in preparing proposals and cost estimates; Interact with customers to promote new business and develop technical requirements
Requirements: Requires a PhD in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or similar engineering degree; Must, at a minimum, have robotics experience in the form of projects, previous employment, or coursework; Demonstrated project work using C++ or python is beneficial; A valid/clear driver's license is required

Duties: Participate in research activities involved in the analysis of multiomics data sets including next-generation sequencing, single cell/nuclear transcriptomics, bulk RNA sequencing, spatial transcriptomics, metabolomics and proteomics datasets; Coordinate data handling and analysis for multi-omics data; Participate as a team member in experimental design and data analysis; Coordinate publications related to the project and scientific results; Work in close collaboration with LCSB members on scientific projects
Requirements: Master’s degree or equivalent in bioinformatics, computational biology, medical engineering, computer science, with an interest in biomedical informatics and translational medicine; Demonstrated expertise in R programming with a strong command of bioinformatics workflows, including data manipulation, statistical analysis, and visualization using relevant packages from Bioconductor including (but not limited) to DESeq2, limma, BioMart, Seurat, gViz, and edgeR; Proficiency in developing interactive web applications and data visualizations with R Shiny, Plotly, ggplot2, and Seaborn or similar dataviz libraries; Proficiency in Python

Department: SIT - Secure Information Technology
Duties: Applied research projects in the area of IT security and cryptography; Collaboration in publicly funded projects and/or projects directly commissioned by industry partners; Concept development and project management tasks; Preparation of project reports and scientific publications; Presentation of research results in the context of publications and lectures at national and international conferences
Requirements: Master of Science degree in computer science, mathematics, electrical engineering, or another field related to cybersecurity; You have in-depth knowledge of IT security and cryptography, and ideally post-quantum cryptography; You have knowledge of programming microcontrollers or embedded systems in C and/or assembly language, or FPGA programming in VHDL or Verilog; Experience with implementation attacks (esp. side channel attacks) as well as Python, Sage, Latex, git, and Linux are also desirable; You have a good command of the German and English languages, both written and spoken

Duties: The research intern will be training and collaborating with Dr. Su's Lab within the Department of Bioinformatics and Computational Biology. The research intern will be exposed to a variety of projects that are conducted in Dr. Su's Lab, ranging from projects on performing alignment for NGS data such as RNA-Seq, DNA-Seq, ChIP-Seq, and ATAC-Seq data; implementation of R scripts to perform clustering analysis for scRNA-Seq data; or writing scientific manuscripts for publications
Requirements: Bachelor degree in Computer or related field

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...

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

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: 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: We seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurodegenerative diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical, imaging, or other large biological datasets), using statistical methods, pathway/network analysis or machine learning/artificial intelligence. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics and clinical data to predict clinical outcomes of interest (e.g., disease progression scores). This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Classification models guided by prior mechanistic knowledge will be built, exploiting the known grouping structures among features in the omics data, using dedicated s...
Requirements: The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas; Prior experience in large-scale data processing and statistics/machine learning is required; Previous work and publications in bioinformatics or biostatistics analysis of large-scale biomedical data (e.g., omics, clinical, imaging, other biomedical data) should be outlined in the CV; Demonstrated skills and knowledge in omics data analysis, machine learning, pathway and network analysis are highly advantageous; The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research; Fluency in oral and written English

Duties: Attività di ricerca applicata nel campo delle applicazioni di salute di precisione abilitate dall'IA, utilizzando vari algoritmi per consentire il riutilizzo dei dati sanitari esistenti e di altri dati sanitari a supporto della ricerca clinica e dell'assistenza clinica; Applicazioni di IA responsabile di algoritmi di apprendimento automatico superficiale e profondo in ambito sanitario; Scrivere articoli scientifici per riviste e atti di conferenze, documenti di progetto e relazioni interne; Presentare i risultati della ricerca a un vasto pubblico, tra cui conferenze, workshop e riunioni di revisione dei progetti; Partecipare all'insegnamento e al tutoraggio degli studenti
Requirements: Laurea magistrale in informatica, scienza dei dati, informatica medica, ingegneria del software o campi correlati, già conseguita o in fase di completamento; Esperienza nell'apprendimento automatico superficiale e profondo; Forte motivazione e impegno nella ricerca e nella pubblicazione in conferenze e riviste di alto livello; Forti capacità di programmazione, con familiarità con Python (o Java); Conoscenza dell'inglese scritto e parlato; Buone capacità organizzative, capacità di lavorare in modo indipendente e proattivo

Duties: Under the supervision of the PI, conducts advanced analysis requiring programming in Stata, SAS, R, Python, or other relevant statistical software package. Analysis may include but is not limited to survival analysis, case‐control analyses, cohort analyses, etc; Performs bioinformatic data quality control prior to analysis implementation; Determines appropriate statistical methods to achieve project aims; Collects and manages survey, insurance claims, and clinical data. Develops custom databases with oversight from the PI; Collects big data from multiple resources and determining appropriate merging procedures with existing analytic data
Requirements: Master’s degree in health services research, health policy, economics, quantitative psychology, epidemiology, biostatistics, bioinformatics, computer science, computational biology or related field with 2 years of relevant experience with bioinformatic packages is required; Completion of an intense data boot camp is equivalent to 1 year of experience; Experience programming in Stata, R, Python, SAS or some other statistical software required

Duties: The Vice Chair for Clinical Machine Learning (VC - CML) develops and operationalizes Moffitt’s strategic roadmap for the utilization of Artificial Intelligence/Machine Learning (AI/ML) in clinical settings, including the assessment and prioritization of commercial products and research prototypes of developed machine learning algorithms for oncology (e.g., EHR, radiology, pathology, clinical trials, or radiation oncology). The VC-CML also assists the Chair of Machine Learning with academic leadership activities (e.g., recruitment, mentoring, retention, budgeting, strategic planning)
Requirements: PhD and/or MD with expertise in the application of AI/ML to clinical workflows and processes; Technical AI/ML knowledge and skills ideally obtained through formal training in AI and ML, with demonstrated track record in the field; Experience optimizing clinical workflow and/or implementing clinical decision support tools that leverage AI/ML; documented examples of significant work in this area is preferred; Excellent interpersonal communication skills; ability to build team consensus with diverse groups of stakeholders; leads through positive influence; Experience obtaining NIH-grants funding as an independent PI