Duties: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Requirements: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Duties: The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes in a military medical research setting. While the primary task for the Bioinformatics Engineer is to assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing
Requirements: Candidates must have completed a Bachelor’s or Master’s degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area; Candidates must have at least 2-4 years of hands-on experience in Bioinformatics; Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio; Maintain a familiarity with next generation sequencing and microarrays

Duties: The Department of Oceanography at Dalhousie University is seeking applicants for a Tier 2 Canada Research Chair in Observational Chemical Oceanography. Applicants must have a strong record of research excellence. The applicants should have expertise in measuring inorganic carbon parameters and other climate-relevant chemical properties, and interest and experience in sea-going research and ocean sensors. The applicants’ program of research should complement the existing research activities by chemical, biological, geological and physical oceanographers in the Department. Interests and experience with cross-disciplinary oceanographic research and inter-disciplinary research with areas outside of oceanography are an asset
Requirements: Tier 2 Chairs are intended for exceptional emerging scholars (i.e. the candidate must have been an active researcher in their field for fewer than 10 years at the time of nomination)

Duties: für Studierende und Absolventen, Erfahrene; alle Disziplinen
Requirements: kann auch für Stellengesuche verwendet werden

Duties: The Swiss National Science Foundation (SNSF) funds excellent research at universities and other institutions; from chemistry to medicine to sociology. Thousands of teams are generating knowledge for a better future for all. Together with our partners, we play a key role in shaping research in Switzerland
Requirements: We crawl all higher jobs in research, teaching and administration at SNF 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: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Requirements: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Duties: Conceive, develop, and deploy robotic and automation software solutions for advanced manufacturing applications and perception-driven solutions; Design, build, debug and implement robotic and automation solutions. Spec, develop pipelines, and implement on hardware perception and perception enabled solutions for high mix environments; Develop and test advanced software solutions for manufacturing and industrial processes and technologies; Assist in preparing proposals and cost estimates. Meet with customers to promote new business and develop technical requirements
Requirements: Requires a Bachelors, Masters, or a PhD in Robotics, Mechanical Engineering, Electrical Engineering, Software Engineering, or Computer Science or similar (PhD requires 0 years, MS requires 1, and BS requires 2); 2 years experience: Development of electromechanical and robotic systems from concept to deployment (full spectrum of robotic solution development); Development work using C, C++ or python

Duties: Perform engineering design and analysis of complex fluid flow systems in support of validation testing or other research studies for external and internal customers; Use of Creo and/or SolidWorks preferred; Conduct evaluations and reviews of system designs with a mind for safe operation of high temperature/pressure systems; Communicate with clients to arrange for conducting experiments and testing including quoting/bidding the cost to test based on their requirements; Coordinate with the team of engineers and technicians to execute all preparation, safety assessment, setup, testing, and data processing tasks needed for each project; Ensure strict adherence to test procedures and safety protocols to maintain compliance with the Quality Management System, and work with the team to document and close any non-conformances
Requirements: Requires a Bachelors in Mechanical Engineering or directly related engineering degree; summer internship or undergraduate research in the area of: petroleum systems, complex fluid flow systems, fluid rheology or similar field

Duties: Computer simulations of materials under shock and impact; Testing of materials with MTS, Hopkinson Bar, Plate Impact, ballistic impact, etc; Develop algorithms in MatLab, Python, FORTRAN, or similar for high strain-rate applications; Use of lasers in various applications; Use of digital image correlation
Requirements: Requires a PhD in Mechanical Engineering, Materials Engineering) or Nuclear Engineering; Previous experience with computer codes applied to impact problems is a plus

Duties: Develop models for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop and validate simulations for control strategies for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop improved or optimized piping system designs/improvements for existing or planned systems based off of model feedback; Run cycle analysis and optimize cycles for refrigeration and power generation
Requirements: Requires a Bachelors, Masters or a PhD in Mechanical Engineering. experience in Thermal fluid system modeling and control background. Graduate experience in developing model and control algorithms for thermal fluid piping systems is preferred

Duties: Conduct fluid system modeling for applications in launch vehicles and turbomachinery using engineering software; Be a solution-oriented problem solver that exercises creativity and independent judgement in determining approaches to solve a wide range of technical problems with moderate supervision; Write technical reports, papers, proposals and prepare technical presentations for client meetings and conferences; Design, analysis, and test support for fluid/thermal projects within the Department, such as combustion, turbomachinery primary and secondary flows, aerodynamic design, supercritical CO2 power systems, heat exchangers, gas system design and modeling
Requirements: Requires a Bachelors in Mechanical Engineering, Aerospace Engineering, or related engineering degree; 0-5 years expierence in conducting fluid and thermal systems analyses using commercial software, such as flow network solvers or computational fluid dynamics (CFD) solvers

Workload: 30-50%
Duties: Sie vermitteln im Mathematikunterricht den angehenden Ingenieurinnen und Ingenieuren das für ihre Fachausbildung und die spätere Berufstätigkeit grundlegende mathematische Wissen; Sofern Sie ausserdem über fundiertes Wissen in Physik verfügen, besteht die Möglichkeit, zusätzlich im Physikunterricht eingesetzt zu werden; Sie setzen sich mit Begeisterung für Ihr Fach und für qualitativ hochstehende Lehrveranstaltungen ein
Requirements: Hochschulabschluss in Mathematik oder eine äquivalente Ausbildung (Promotion und fundierte Kenntnisse in Physik sind von Vorteil); Interesse an Ingenieuranwendungen der Mathematik im Unterricht; Engagement bei der Weiterentwicklung der Lehre; Lehrerfahrung ist erwünscht (Unterrichtssprache ist Deutsch)

Duties: Participate actively in the research project as described above; Write manuscripts for articles to be published in leading international scientific journals; Write a thesis in the domain of soft matter physics; Contribute to developing this entirely new field of soft matter physics, exploring both fundamental aspects and application potential, as well as to teaching and public outreach
Requirements: Master’s degree (or equivalent) in physic Chemistry or materials science/engineering degrees may also be appropriate if combined with a strong interest in and good understanding of physics/physical chemistry; Experience in quantitative research methods and practical work in physics/engineering labs; Curiosity, a genuine passion for scientific research and a desire to go beyond the state of the art; Good knowledge and understanding of materials physics and chemistry, including polarized light optics, light; matter interaction, and the thermodynamics of phases and phase transitions. We consider knowledge in and experience of soft matter physics and chemistry, especially in polymers and liquid crystals, as strong assets

Duties: In this role you will support the design and development of new tools and platform components to improve existing platform capabilities and extend the platform to new research areas. You will work closely with other members of our team as well as our customers and partners to identify most pressing challenges and address them using cutting-edge computational biology and machine learning applications
Requirements: PhD in bioinformatics, computer science or a related discipline; 5+ years’ experience (in industry or academic environments, work towards PhD counts) in bioinformatics, data science, scientific software development or related role; Deep knowledge and experience analyzing large omics and molecular data either from industry or academia; Experience with NGS platforms, systems biology and machine learning; Advanced skills in Python and/or R

Duties: Devise, implement and lead research projects focused on identifying and characterizing molecular networks underlying human traits using data from human biobanks and other sources; Use statistical associations, causal inference methods and biological knowledge to generate hypotheses and design experiments to test them; Work in close collaboration with an interdisciplinary group of experimental scientists, computational biologists and statisticians
Requirements: A PhD degree in biology, genetics, computer science, statistics or related fields; 5+ years of experience in statistical genetics and/or epidemiology (including PhD). Post-graduate experience (post-doc or industry) is a plus; Strong coding skills in Python and/or R

Duties: Design, develop, and implement state-of-the-art motion planning and trajectory control algorithms to optimize robot paths and ensure precise movement in complex, indoor environments for a multi-robot navigation system; Collaborate with cross-functional engineering teams to seamlessly integrate planning and control algorithms into robotic systems; Conduct rigorous testing, simulation, and troubleshooting to validate performance and identify areas for continuous enhancement and adaptation of the multi-robot system; Identify and implement performance improvements in a large distributed robotic system, leveraging architectural changes as needed; Provide live deployment support and troubleshoot issues in real-time for a fleet of hundreds of robots
Requirements: Master's degree in computer science or similar engineering degree; 5+ years of experience developing production software with C++ or other object-oriented languages; 5+ years experience with techniques and applications in mobile robot controls, path planning, or scheduling/optimization; 5+ Extensive experience debugging and profiling applications/algorithms; Proficiency with working in a Linux development environment

Duties: Design, create, and manage database systems that allow biologists to investigate data independently; Automate workflows for data retrieval or storage in electronic lab notebooks (ELNs), such as Benchling; Collaborate with a team of scientists to help automate data analysis pipelines and build data infrastructure; Define, contribute to, and proactively communicate data engineering standards and practices establishing repeatable templates and frameworks and efficient usage of cloud services and tools; Communicate insights and progress to the scientific team and executive management
Requirements: B.S. or M.S. in computer science or related field and 3+ years of industry experience; Extensive experience with database technologies, architecture, and management; NGS database development experience with virology, pathology, molecular biology, or similar datasets; Programming experience in scripting languages such as Python, R, SQL, and version control tools; Understanding of ideating and creating UI design deliverables; Working knowledge of AWS services, including EC2, S3, RDS, FSx Lustre, Athena, Glue, Lambda, Batch

Duties: Architect, develop, test, maintain Bioinformatics Pipeline Systems; Research and develop new algorithms, programs to support and improve Bioinformatics system efficiency; Data management, data maintenance and database administration; Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilities; Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics; Support business operations, processing, and exceptions; Database design, analysis, implementation, and support; System administration and maintenance
Requirements: A Bachelors Degree with a major in Bioinformatics, Computer Science, or a related discipline; Knowledge of Java, JavaScript, Python, Bash Scripts; Knowledge of Database, SQL; Knowledge of GIT Source Control, Windows, and Linux

Duties: Successful candidates will carry out research in the area of Smart European Electricity Markets, making a contribution to a successful energy transition in Luxembourg and the EU. As such, the candidate will also be involved in various (inter-)national initiatives and engage with different (political) decision makers to shape future markets in Europe. Candidates will have the opportunity to investigate a broad range of research areas and design an individual research portfolio with high policy impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their personal goals and interests
Requirements: Master’s degree in Energy Policy, Energy Economics, Mathematics, Operations Research, or a related field; Strong knowledge of quantitative and/or computational research methods, ideally optimization and simulation models or forecasting/econometric analysis; Proficiency in one of the major programming languages such as Python; A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our broader economy and society

Duties: Methodological advances enable a deeper characterization of tissues on the cellular (single-cell omics) and spatial level (imaging). Computational methods are needed for data integration and for gaining deeper insights, e.g., into metabolic rewiring in neurodegenerative diseases. In this project we aim to 1. Further develop a computational approach for the integration of single-cell RNA-Seq and imaging data towards the detailed metabolic network modelling of brain tissue on a multi-cell population level. 2. Apply this framework for the deeper characterization of metabolic alterations in neurodegenerative diseases and for the prediction of novel drug candidates and combinations
Requirements: PhD in Systems Biology, Computational Biology, Bioinformatics or equivalent. Strong background in computational and molecular biology, especially data, network and image analysis, as well as in biochemistry

Duties: A postdoc position is available at the Laboratory for Photovoltaics, led by Prof. Siebentritt, in the Department of Physics and Materials Science (DPhyMS) at the University of Luxembourg. This position is for a collaborative project which aims at understanding materials in highly efficient thin film photovoltaic devices
Requirements: Inorganic thin film photovoltaics require low energy to fabricate, are stable for decades, and have achieved efficiencies comparable to silicon. In this new project we will implement novel epitaxial solar cells and study the role of their highly ordered structure

Duration: 1 y
Duties: the research focuses on the study and development, in a simulation environment, of current and/or torque controls for multi-three-phase synchronous motors based on predictive algorithms. The motor is powered by modular multilevel converters that can draw power from different energy sources (batteries, supercapacitors, fuel-cell, etc.). The developed control strategy should include a multiobjective cost function that can also provide for the optimization of the utilization of the various energy sources; ing-ind/32 - convertitori, macchine e azionamenti elettrici
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Workload: 80-100%
Duties: Leitung und Führung von interdisziplinären und technologischen Gross-/Projekten, Aufgaben sowie Programmen; Entwicklung sowie Prüfung von Lösungsvarianten und eigenständige Organisation zur Abwicklung der Projekte; Verantwortung für das integrale LifeCycle-Management der Systeme zusammen mit den Abteilungen Service Engineering Center und Medical System Engineering; Erstellung von Pflichtenheften, Anforderungs- und Stakeholder Analysen sowie das Risikomanagement gehören als integrale Bestandteile in ihr Tätigkeitsgebiet; Erstellen und Formulieren von Projektaufträgen, Arbeitsaufträgen und Terminplanungen mit Hilfe der gängigen Software-Programme
Requirements: Studium (Uni, FH, HF) vorzugsweise im technischen Bereich sowie entsprechende Weiterbildung; Mehrjährige Erfahrung in der Projekt-/Teilprojektleitung von interdisziplinären Projekten, integrales Verständnis für systemtechnische Disziplinen und Prozesse; Sie haben eine hohe Sozial- und Kommunikationskompetenz sowie Freude an der Zusammenarbeit und Führung in interdisziplinären Projektteams; Sie sind stark in der Lösungsfindung von konzeptionellen Fragestellungen, arbeiten systematisch und haben ein ausgeprägtes Systemverständnis

Duties: Areas: Algorithms and complexity; Artificial intelligence and machine learning; Data science, statistical data analysis and signal processing; Embedded and distributed systems; Human-computer interaction; Mathematical foundations of information, communication and computing; Microelectronics; Modelling and simulation; Security and safety and dependability; Software, systems and control engineering; Visual computing; Wireless communications and networks
Requirements: PhD-level university education in disciplines relevant for the position; Outstanding achievements in research, excellent publication record and international reputation; International experience in form of a PhD or Post-Doc; Experience in the design and implementation of international research projects as well as willingness and ability to establish and lead a research group

Duties: Impegnarsi nell'integrare le descrizioni qualitative con i modelli quantitativi nell'ambito della pianificazione dei sistemi energetici; Sviluppare e suggerire approcci innovativi per l'analisi e la creazione di modelli relativi alle politiche basate su dati quantitativi; Analizzare molteplici scenari di transizione energetica su scala regionale, considerando i compromessi sociali, l'incertezza e gli effetti di lock-in; Pubblicare i risultati della ricerca su riviste accademiche peer-reviewed e presentare a conferenze pertinenti
Requirements: Laurea specialistica o dottorato in ingegneria, scienze ambientali, statistica applicata, informatica o un campo correlato; Interesse per la modellazione di sistemi multi-energetici, per le politiche basate su modelli e dati, per il processo decisionale in condizioni di incertezza, per il lavoro con dati e statistiche nazionali e regionali in un ambiente multidisciplinare, per gli strumenti visivi per la pianificazione partecipativa