Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Pensum: 70%
Aufgaben: Consult researchers for the planning and analysis of their microscopy experiments and support them during the process; Theoretical and practical training of users; First level maintenance and troubleshooting of a variety of instruments including widefield, confocal, spinning disk, 2-photon and high content screening microscopes; Development of new applications as well as solutions for image processing and analysis; Support in image analysis projects; Manage and document knowledge in the facility database
Anforderungen: Master or PhD in life sciences with several years of professional experience in biology, physics, biophysics or a related field with a strong focus on microscopy; 3-5 years of work experience in the field of light microscopy including hardware and software; Excellent knowledge of principles and methods of microscopy (including fluorescence, confocal and 2-photon microscopy, properties of light sources and detectors); Good skills in handling optics, microscopy hardware and software; Experience in image analysis with commercial and open source software, programming skills are an advantage

Aufgaben: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben, z. B.: Strukturierung und Management komplexer Projektvorhaben; Analytisch anspruchsvolle Geschäftsprozessmodellierung und -optimierung; Konzeption von Steuerungssystemen mit statistischen, finanzmathematischen und KI-Methoden
Anforderungen: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik

Aufgaben: 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
Anforderungen: Initiativbewerbung am Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung

Aufgaben: Libera is a leading Swiss consulting firm for benefit institutions and companies in Switzerland. Since 1963 we have been advising our clients on occupational benefits, while supporting them with outsourcing services and in all matters of international accounting. We have two locations in Basel and Zurich and employ around 80 people
Anforderungen: We crawl all higher jobs at Libera 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"

Aufgaben: Work on extending single cell analysis pipelines to include QC and analysis of TCR-seq, CITE-seq, and LIBRA-seq data types; Work on benchmarking the best methods for integration of single cell RNA-seq datasets from different sources; Work with the IT teams to establish and maintain an automated workflow for data acquisition and processing in a cloud-based environment; Develop analytics pipelines for different types of high-dimensional data, including but not limited to data from next generation sequencing, flow cytometry, mass spectrometry, ELISA, Luminex, or imaging
Anforderungen: Currently enrolled in an advanced degree program in computational biology, bioinformatics, statistics, computer science, or bioengineering; Currently enrolled or recently graduating from a PhD program is a plus; Good coding experience in Python is required, experience with R also beneficial; Experience in cloud-based computing environment and data science development platforms, such as GitLab, Jupyter, R shiny, Anaconda, and Docker container, is needed

Aufgaben: Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams; Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling; Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets; Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses
Anforderungen: An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying; Extensive database architecture experience (e.g. SQL, MySQL, etc); Extensive programming experience and intimate knowledge of programming languages for statistical analysis; Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets

Aufgaben: 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
Anforderungen: 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

Aufgaben: Support Ginkgo’s Biosecurity Teams with your technical expertise in bioinformatics; Support data management across biosecurity programs; Support pipeline development & improvement for biosecurity, biosurveillance, and new sequence based tools; Support retrieving, parsing, and processing structured and unstructured data; Assist in management of data pipelines across various stages of the lifecycle from exploration to production including logging and monitoring issues & bugs
Anforderungen: BS + minimum 2 years relevant experience, OR Master’s degree in related discipline; Proficient in at least one software programming language (Python); Proficient in workflow management software (Nextflow, Docker); Proficient in distributed computing (AWS/Google Cloud)

Aufgaben: Integrate robotic hardware and software systems by creating, augmenting, or developing new APIs; Plan and execute proof of concepts and demonstrations for internal and external consumption; Create predictable behaviors for human-robot and robot interactions; Write and execute test procedures for performance evaluation; Document and share knowledge and refine designs based on input from the team
Anforderungen: BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or similar field; 3+ years of commercial experience working with C++ or other object-oriented languages; 3 + years experience with API development, hardware and software integration; Knowledgeable regarding robotics systems architecture and mobile robotics; Demonstrable experience with robotics integration, driver development, and bring up with Robot Operating System (ROS). 

Aufgaben: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Anforderungen: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Aufgaben: Oversee the analysis of large, multi-omic datasets with the goal of finding disease signatures for diagnosis and targets for drug development; Collaborate with your ICR team members to streamline and optimize novel methodologies to identify disease-causing genomic/transcriptomic variants and find actionable targets for therapeutic development; Create and test in silico human disease models to improve predictive diagnostics; Manage a team of data scientists, computational biologists and machine learning engineers in difficult but rewarding work
Anforderungen: A Masters or PhD and 10 years of data science/machine learning experience, with a focus on the integration of multi-omics level datasets, diagnosing disease and target discovery; A deep background in computer programming, machine learning, mathematics, probability and statistics with an emphasis on integrating and interrogating large, multi-omic datasets

Aufgaben: 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
Anforderungen: 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)

Aufgaben: The Computational Science Co-op program is a 6-month experiential training program for students currently working towards a US-based undergraduate or advanced degree in STEM. Our spring co-op program will run from July 15; December 13, 2024. Co-ops must be available for the entire duration of the program. This position is mainly on-site at Cambridge MA, but we may make an exception under special circumstances to make it entirely remote
Anforderungen: The ideal candidate will have a strong background in bioinformatics, computational biology, or a related field. Experience working with ribosome profiling data analysis and an understanding of mRNA translation processes is a plus but not required

Aufgaben: Perform high-impact, high-reward rare and hard-to-diagnose disease work; Discover novel diagnostic disease signatures and uncover actionable targets for drug development; Integrate and analyze multi-omic datasets (e.g. genomic, epigenomic, transcriptomic, proteomic, metabolomic, clinomic)
Anforderungen: At least post-doctoral level experience analyzing -omic datasets or similar or MS degree with 5+ years experience in -omic dataset analysis; Extensive programming experience; A strong statistics background, particularly in descriptive and predictive statistics

Aufgaben: Atmospheric modelling for wind energy; Validation of meteorological models with remote sensing instruments; Application of Doppler wind lidars to wind energy relevant subjects both onshore and offshore such as wind resource estimation, investigation of siting conditions, wind turbine control, and validation of load calculations and power curves; Exploration of new remote sensing techniques, for example radars and satellite-borne instruments, that can support understanding of aspects of the atmospheric properties relevant for wind energy, and new applications of remote sensing
Anforderungen: You have a technical/scientific education at PhD-level with international recognition within the research field. You are able to combine a high research level and publication activity, with promotion of external cooperation and exploitation of research results in interaction with industry. Furthermore, you can document your ability to attract research funding from national and international research programs

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

Aufgaben: 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
Anforderungen: 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; Ability to handle periodic on-call duty as well as out-of-band requests

Aufgaben: 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
Anforderungen: 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

Aufgaben: 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
Anforderungen: 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

Pensum: 60-100%
Aufgaben: Durchführung von Literaturrecherchen zur Blickbewegungsanalyse und zum Einsatz von Eye-Tracking-Technologien im medizinischen Kontext; Analyse existierender Studien und Erkenntnisse zur Nutzung von Blickbewegungsdaten für Trainingszwecke im chirurgischen Bereich; Entwicklung eines blickbewegungsbasierten Trainingskonzepts für Chirurginnen und Chirurgen, das auf den vorhandenen Erkenntnissen aufbaut; Durchführung von Eye-Tracking-Analysen zur Datenerhebung; Erstellung von Berichten und Präsentationen, um die Ergebnisse zu kommunizieren
Anforderungen: Immatrikulierte/r Studierende/r im Bereich Psychologie, Kognitive Neurowissenschaften oder einem verwandten Fachgebiet; Interesse an den Themen Lernen, Training, kognitive Prozesse und Eye-Tracking; Kenntnisse oder Erfahrungen im Umgang mit Eye-Tracking-Technologien und Auswertungssoftware sind von Vorteil; Theoretisches Hintergrundwissen zum Eye-Tracking sowie zur Planung und Durchführung von Studien; Methodisches Wissen und statistische Kenntnisse zur Analyse von Blickbewegungsdaten; Eigenständige und strukturierte Arbeitsweise; Kommunikationsstärke und Teamfähigkeit

Aufgaben: The Lewis Lab is seeking a postdoctoral fellow with expertise in one or more of the following areas: nanoparticle synthesis, colloidal science, rheology, or granular media. The successful candidate will join a multidisciplinary team of researchers supported under a new ARO MURI award. The goal of this project is to develop a fundamental understanding of the transient yielding and printing behavior of highly heterogeneous particle systems
Anforderungen: Candidates must have a Doctorate degree in Chemistry, Materials Science, Chemical Engineering, or Applied Physics by the time the appointment begins

Aufgaben: Spearhead the integration and analyses of multi-omic datasets to discover the causes of rare and hard-to-diagnose diseases; Manage in- and out-sourced multi-omic data collection efforts; Collaborate with your ICR team members to streamline and optimize novel methodologies to identify disease-causing genomic/transcriptomic variants and find actionable targets for therapeutic development; Create and test in silico human disease models to improve predictive diagnostics
Anforderungen: A PhD and at least 5 years of translational bioinformatics experience, with a focus on the integration of multi-omics level datasets; A deep background in genomics, computer programming, machine learning, mathematics, probabilities and statistics, including a philosophical understanding of probability theory and Bayesian statistics; A drive to work in an individualized medicine paradigm with the translational potential to help millions of suffering people

Aufgaben: Develops and implements tools and reference databases for genomic analysis of eukaryotic pathogens; Analyzenext-generationsequencing (NGS)datasuch asWGS and targeted sequencingand othermicrobiome data; Construct NGS libraries for the assigned pipeline, which may be whole genomeor amplicon andoperation of related sequencing platform; Generate high-quality reports forsequencing requestsdocumentation, communicate with team members effectively, and good time management; Interface with data scientists from across the company to leverage and develop new state of the art machine learning tools, data analysis capabilities, and informatic systems
Anforderungen: Masters Degree in Bioinformatics, Computer Science, Statistics, orarelated field with at least 2 yearsofwork experience in sequencing data analysis; Knowledge of prokaryotic and eukaryotic molecular biology and microbiology